Browse Topic: Visibility

Items (852)
The scope of this SAE Aerospace Information Report (AIR) is to discuss factors affecting visibility of aircraft navigation and anticollision lights, enabling those concerned with their use to have a better technical understanding of such factors, and to aid in exercising appropriate judgment in the many possible flight eventualities
A-20B Exterior Lighting Committee
ABSTRACT The objective of this effort is to create parametric Computer-Aided Design (CAD) accommodation models for crew and dismount workstations with specific tasks. The CAD accommodation models are statistical models that have been created utilizing data from the Seated Soldier Study and follow-on studies. The final products are parametric CAD models that provide geometric boundaries indicating the required space and adjustments needed for the equipped Soldiers’ helmet, eyes, torso, knees, boots, controls, and seat travel. Clearances between the Soldier and surrounding interior surfaces and direct field of view have been added per MIL-STD-1472H. The CAD models can be applied early in the vehicle design process to ensure accommodation requirements are met and help explore possible design tradeoffs when conflicts with other design parameters exist. The CAD models are available to government and industry partners and via the GVSC public website once they have undergone Verification
Huston, Frank J.Zielinski, Gale L.Reed, Matthew P.
ABSTRACT What does “exposure to risk” mean? How can acquisition programs get early warning of risk exposure? How is risk exposure related to the root causes and causal mechanisms of adverse program outcomes? How does risk early warning inform risk management? How is risk exposure related to the tradeoffs made between risk versus potential rewards? What technical and management contract data reporting requirements provide evidence of risk exposure, and how can risk leading indicators be computed? How can standard technical and management contract data reporting requirements be used to improve visibility into risk exposure? How can the magnitude of risk exposure be estimated? How does risk early warning complement traditional technical, cost and schedule risk assessment? How do risk early warning methods relate to typical proposal requirements and evaluation criteria? How are risk leading indicators related to system development leading indicators? How can risk early warning methods be
Witus, GaryBryzik, WalterUmpfenbach, EdwardAddis, RebeccaTzau, JeromeRizk, Kadry
ABSTRACT Latencies as small as 170 msec significantly degrade ground vehicle teleoperation performance and latencies greater than a second usually lead to a “move and wait” style of control. TORIS (Teleoperation Of Robots Improvement System) mitigates the effects of latency by providing the operator with a predictive display showing a synthetic latency-corrected view of the robot’s relationship to the local environment and control primitives that remove the operator from the high-frequency parts of the robot control loops. TORIS uses operator joystick inputs to specify relative robot orientations and forward travel distances rather than rotational and translational velocities, with control loops on the robot making the robot achieve the commanded sequence of poses. Because teleoperated ground vehicles vary in sensor suite and on-board computation, TORIS supports multiple predictive display methods. Future work includes providing obstacle detection and avoidance capabilities to support
Kluge, Karl C.Lacaze, AlbertoCelle, Zach LaLegowik, SteveMurphy, KarlThomson, Rob
ABSTRACT The objective of this effort is to create a parametric Computer-Aided Design (CAD) accommodation model for the Fixed Heel Point (FHP) driver and crew workstations with specific tasks. The FHP model is a statistical model that was created utilizing data from the Seated Soldier Study (Reed and Ebert, 2013). The final product is a stand-alone CAD model that provides geometric boundaries indicating the required space and adjustments needed for the equipped Soldiers’ helmet, eyes, torso, knees, and seat travel. Clearances between the Soldier and surrounding interior surfaces and direct field of view have been added per MIL-STD-1472G. This CAD model can be applied early in the vehicle design process to ensure accommodation requirements are met and help explore possible design tradeoffs when conflicts with other design parameters exist. The CAD model will be available once it has undergone Verification, Validation, and Accreditation (VV&A) and a user guide has been written
Huston, Frank J.Zielinski, Gale L.Reed, Matthew P.
ABSTRACT Motorized ground forces spend considerable resources in equipping for situational awareness capabilities. Given requirements spanning command, control, surveillance, and reconnaissance of a battlefield, there has been no single mast technology that can support each of these with elevated sensors and weapons. A tough, extremely low weight modular mast system has been designed to be quickly attached or removed from a ground vehicle to provide different operational capabilities depending on the payload. The design allows for easy modification to fit functional needs on different vehicles and platforms. At the heart of the technology is a proprietary super-fiber pressurized tube which elevates the payload on a column of moderate gas pressure eliminating cumbersome hydraulic/mechanical systems. An internal, simple alignment system and gyroscope-maintained verticality allow a stable, elevated platform without introducing instability to the vehicle. The system is capable of
Townsend, Phillip L.Bhatnagar, VivekMartinez, RudyWarnakulasuriya, Frank
A critical first step for a robot navigating an obstacle field is to plan a collision-free path through the environment. Historically, solutions for path planning largely use grid-based search methods particularly when guarantees are required that do not permit randomization-based methods. In large operational domains, gridding the search environment necessitates significant memory overhead and corresponding performance loss. To avoid gridded maps, grid-free path planners can achieve significant benefits to performance and memory overhead. These methods utilize visibility graphs with edge costs rather than grids with cell weights to represent possible path choices. This work presents methods to extend known 2D grid-free static environment path planners into higher dimensions to use these same planners for dynamic obstacle path planning via timespace representations. Such extensions to include time trajectories into the visibility graph readily admit path planning through highly dynamic
Harnett, Stephen J.Brennan, SeanPangborn, Herschel C.Pentzer, JesseReichard, Karl
This study aims to elucidate the impact of A-pillar blind spots on drivers’ visibility of pedestrians during left and right turns at an intersection. An experiment was conducted using a sedan and a truck, with a professional test driver participating. The driver was instructed to maintain sole focus on a designated pedestrian model from the moment it was first sighted during each drive. The experimental results revealed how the blind spots caused by A-pillars occur and clarified the relationship between the pedestrian visible trajectory distance and specific vehicle windows. The results indicated that the shortest trajectory distance over which a pedestrian remained visible in the sedan was 17.6 m for a far-side pedestrian model during a right turn, where visibility was exclusively through the windshield. For the truck, this distance was 20.9 m for a near-side pedestrian model during a left turn, with visibility through the windshield of 9.5 m (45.5% of 20.9 m) and through the
Matsui, YasuhiroOikawa, Shoko
Most humans rely heavily on our visual abilities to function in the world—we are optically oriented. In the broadest sense, “optics” refers to the study of sight and light. At its foundation, Radiant’s business is all about optics: measuring light and the properties of light in relation to the human eye. Photometry is the science of light according to our visual perception. Colorimetry is the science of color: how our eyes interpret different wavelengths of light
Deep learning algorithms are being widely used in autonomous driving (AD) and advanced driver assistance systems (ADAS) due to their impressive capabilities in visual perception of the environment of a car. However, the reliability of these algorithms is known to be challenging due to their data-driven and black-box nature. This holds especially true when it comes to accurate and reliable perception of objects in edge case scenarios. So far, the focus has been on normal driving situations and there is little research on evaluating these systems in a safety-critical context like pre-crash scenarios. This article describes a project that addresses this problem and provides a publicly available dataset along with key performance indicators (KPIs) for evaluating visual perception systems under pre-crash conditions
Bakker, Jörg
For safe driving function, signs must be visible. Sign visibility is function of its luminance intensity. During day, due to ambient light conditions sign luminance is not a major concern. But during night, due to absence of sun light sign board retro-reflectivity plays a crucial role in sign visibility. The vehicle headlamp color, beam pattern, lamp installation position, the relative seating position of driver and moon light conditions are important factors. Virtual simulation approach is used for analyzing the sign board visibility. Among various factors for example the headlamp installation position from ground, distance between two lamps and eye position of driver are considered for analyzing the sign board visibility in this paper. Many automotive organizations have widely varying requirements and established testing guidelines to ensure visibility of signs in head lamp physical testing but there are no guidelines during design stage for headlamp for sign visibility. In this
Yadav, Prashant Maruti
ISO 26262-1:2018 defines the fault tolerant time interval (FTTI) as the minimum time span from the occurrence of a fault within an electrical / electronic system to a possible occurrence of a hazardous event. FTTI provides a time limit within which compliant vehicle safety mechanisms must detect and react to faults capable of posing risk of harm to persons. This makes FTTI a vital safety characteristic for system design. Common automotive industry practice accommodates recording fault times of occurrence definitively. However, current practice for defining the time of hazardous event onset relies upon subjective judgements. This paper presents a novel method to define hazardous event onset more objectively. The method introduces the Streetscope Collision Hazard Measure (SHMTM) and a refined approach to hazardous event classification. SHM inputs kinematic factors such as proximity, relative speed, and acceleration as well as environmental characteristics like traffic patterns
Jones, DarrenGangadhar, PavankumarMcGrail, RandallPati, SudiptaAntonsson, ErikPatel, Ravi
A total of 93 tests were conducted in daytime conditions to evaluate the effect on the Time to Collision (TTC), emergency braking, and avoidance rates of the Forward Collision Warning (FCW) and Automatic Emergency Braking (AEB) provided by a 2022 Tesla Model 3 against a 4ActivePA adult static pedestrian target. Variables that were evaluated included the vehicle speed on approach, pedestrian offsets, pedestrian clothing, and user-selected FCW settings. As a part of the Tesla’s Collision Avoidance AssistTM, these user-selected FCW settings change the timing of the issuance of the visual and/or audible warning provided. This testing evaluated the Tesla at speeds of 25 and 35 miles per hour (mph) versus a stationary pedestrian target in early, medium, and late FCW settings. Testing was also conducted with a 50% pedestrian offset and 75% offset conditions relative to the right side of the Tesla. The pedestrian target was clothed with and without a reflective safety vest to account for
Harrington, ShawnNagarajan, Sundar RamanLau, James
Temporal light modulation (TLM), colloquially known as “flicker,” is an issue in almost all lighting applications, due to widespread adoption of LED and OLED sources and their driving electronics. A subset of LED/OLED lighting systems delivers problematic TLM, often in specific types of residential, commercial, outdoor, and vehicular lighting. Dashboard displays, touchscreens, marker lights, taillights, daytime running lights (DRL), interior lighting, etc. frequently use pulse width modulation (PWM) circuits to achieve different luminances for different times of day and users’ visual adaptation levels. The resulting TLM waveforms and viewing conditions can result in distraction and disorientation, nausea, cognitive effects, and serious health consequences in some populations, occurring with or without the driver, passenger, or pedestrian consciously “seeing” the flicker. There are three visual responses to TLM: direct flicker, the stroboscopic effect, and phantom array effect (also
Miller, NaomiIrvin, Lia
The prediction of agents' future trajectory is a crucial task in supporting advanced driver-assistance systems (ADAS) and plays a vital role in ensuring safe decisions for autonomous driving (AD). Currently, prevailing trajectory prediction methods heavily rely on high-definition maps (HD maps) as a source of prior knowledge. While HD maps enhance the accuracy of trajectory prediction by providing information about the surrounding environment, their widespread use is limited due to their high cost and legal restrictions. Furthermore, due to object occlusion, limited field of view, and other factors, the historical trajectory of the target agent is often incomplete This limitation significantly reduces the accuracy of trajectory prediction. Therefore, this paper proposes ETSA-Pred, a mapless trajectory prediction model that incorporates enhanced temporal modeling and spatial self-attention. The novel enhanced temporal modeling is based on neural controlled differential equations (NCDEs
Wei, ZhaoWu, Xiaodong
SLAM (Simultaneous Localization and Mapping) plays a key role in autonomous driving. Recently, 4D Radar has attracted widespread attention because it breaks through the limitations of 3D millimeter wave radar and can simultaneously detect the distance, velocity, horizontal azimuth and elevation azimuth of the target with high resolution. However, there are few studies on 4D Radar in SLAM. In this paper, RI-FGO, a 4D Radar-Inertial SLAM method based on Factor Graph Optimization, is proposed. The RANSAC (Random Sample Consensus) method is used to eliminate the dynamic obstacle points from a single scan, and the ego-motion velocity is estimated from the static point cloud. A 4D Radar velocity factor is constructed in GTSAM to receive the estimated velocity in a single scan as a measurement and directly integrated into the factor graph. The 4D Radar point clouds of consecutive frames are matched as the odometry factor. A modified scan context method, which is more suitable for 4D Radar’s
Zihang, HeXiong, LuZhuo, GuirongGAO, LetianLu, ShouyiZhu, JiaqiLeng, Bo
Ergonomics plays an important role in automobile design to achieve optimal compatibility between occupants and vehicle components. The overall goal is to ensure that the vehicle design accommodates the target customer group, who come in varied sizes, preferences and tastes. Headroom is one such metric that not only influences accommodation rate but also conveys a visual perception on how spacious the vehicle is. An adequate headroom is necessary for a good seating comfort and a relaxed driving experience. Headroom is intensely discussed in magazine tests and one of the key deciding factors in purchasing a car. SAE J1100 defines a set of measurements and standard procedures for motor vehicle dimensions. H61, W27, W35, H35 and W38 are some of the standard dimensions that relate to headroom and head clearances. While developing the vehicle architecture in the early design phase, it is customary to specify targets for various ergonomic attributes and arrive at the above-mentioned
Rajakumaran, SriramS, RahulVasireddy, Rakesh MitraNair, Suhas
The improvement of vehicle soiling behavior has increasing interest over the past few years not only to satisfy customer requirements and ensure a good visibility of the surrounding traffic but also for autonomous vehicles, for which soiling investigation and improvement are even more important due to the demands of the cleanliness and induced functionality of the corresponding sensors. The main task is the improvement of the soiling behavior, i.e., reduction or even prevention of soiling of specific surfaces, for example, windows, mirrors, and sensors. This is mostly done in late stages of vehicle development and performed by experiments, e.g., wind tunnel tests, which are supplemented by simulation at an early development stage. Among other sources, the foreign soiling on the side mirror and the side window depend on the droplet detaching from the side mirror housing. That is why a good understanding of the droplet formation process and the resulting droplet diameters behind the side
Kille, LukasStrohbücker, VeithNiesner, ReinholdSommer, OliverWozniak, Günter
This article presents a novel approach to optimize the placement of light detection and ranging (LiDAR) sensors in autonomous driving vehicles using machine learning. As autonomous driving technology advances, LiDAR sensors play a crucial role in providing accurate collision data for environmental perception. The proposed method employs the deep deterministic policy gradient (DDPG) algorithm, which takes the vehicle’s surface geometry as input and generates optimized 3D sensor positions with predicted high visibility. Through extensive experiments on various vehicle shapes and a rectangular cuboid, the effectiveness and adaptability of the proposed method are demonstrated. Importantly, the trained network can efficiently evaluate new vehicle shapes without the need for re-optimization, representing a significant improvement over classical methods such as genetic algorithms. By leveraging machine learning techniques, this research streamlines the sensor placement optimization process
Berens, FelixAmbs, JordanElser, StefanReischl, Markus
The recent progress in camera-based technologies has prompted the development of prototype camera-based video systems, intended to replace conventional passenger vehicle mirrors. Given that a significant number of collisions during lane changes stem from drivers being unaware of nearby vehicles, these camera-based systems offer the potential to enhance safety. By affording drivers a broader field of view, they facilitate the detection of potential conflicts. This project was focused on analyzing naturalistic driving data in support of the Federal Motor Vehicle Safety Standard 111 regulatory endeavors. The goal was to assess the effectiveness and safety compatibility of prototype camera-based side-view systems as potential replacements for traditional side-view mirrors. The method employed involved extracting radar data from instances of lane changes conducted by 12 drivers for two pick-up trucks includes 10018 signal-indicated lane changes performed at speeds consistent with highway
Guduri, BalachandarLlaneras, Robert
The windscreen wiping system is mandatory requirement for automotive vehicle as per Central motor vehicle rules (CMVR). The main scope of the standard is to ensure vision zones to be wiped by wiping system to ensure maximum field of vision to the driver. The evaluation of vision zones as per IS 15802:2008 is generally determined by virtual simulation by OEMs. The limitation of virtual simulation is due to actual tolerances in vehicle, due to seat fitment, ergonomic dimensions, seat cushioning effect and wiper non-effective operation which are not taken into consideration very well off. The testing methodology described in the paper is an in-house developed test method based on SAE recommended practices. With the help of 3D H-point machine and a laser based ‘Theodolite’ equipped with horizontal and vertical angle projections from single pivot point is used to develop various vision zones on an actual vehicle windscreen as per technical data. These zones are later compared with wiped
Joshi, AmolPatil, AmolDoshi, AnupNikam, ShashankBelavadi Venkataramaiah, Shamsundara
Automated driving system is a multi-source sensor data fusion system. However different type sensor has different operating frequencies, different field of view, different detection capabilities and different sensor data transition delay. Aiming at these problems, this paper introduces the processing mechanism of out of sequence measurement data into the multi-target detection and tracking system based on millimeter wave radar and camera. After the comparison of ablation experiments, the longitudinal and lateral tracking performance of the fusion system is improved in different distance ranges
Li, Fu-XiangZhu, Yuan
This study applies high-speed particle image velocimetry (HS-PIV) and flame image velocimetry (HS-FIV) to show flow fields under the effect of varied swirl ratios in a small-bore optical compression-ignition engine. The base swirl ratio and maximum swirl ratio conditions were applied to investigate structures, magnitude and turbulence distribution of the in-cylinder flow as well as the flow within the flame. For each swirl ratio, 100 individual cycles were measured for PIV analysis at motoring conditions and then another 100 cycles for FIV analysis at firing conditions. The derived flow fields were ensemble averaged to show flow structure evolution while the spatial filtering method was applied to extract high-frequency flow component for the analysis of turbulence distributions. The results showed that the intake air flow generates undefined, chaotic flow fields, which are followed by a gradual production of an asymmetric swirl flow. This is due to uneven intake port shape with one
Yang, JinxinKim, DongchanKook, SanghoonKim, Kenneth SKweon, Chol-Bum
This SAE Recommended Practice defines key terms used in the description and analysis of video based driver eye glance behavior, as well as guidance in the analysis of that data. The information provided in this practiced is intended to provide consistency for terms, definitions, and analysis techniques. This practice is to be used in laboratory, driving simulator, and on-road evaluations of how people drive, with particular emphasis on evaluating Driver Vehicle Interfaces (DVIs; e.g., in-vehicle multimedia systems, controls and displays). In terms of how such data are reduced, this version only concerns manual video-based techniques. However, even in its current form, the practice should be useful for describing the performance of automated sensors (eye trackers) and automated reduction (computer vision
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Parking an articulated vehicle is a challenging task that requires skill, experience, and visibility from the driver. An automatic parking system for articulated vehicles can make this task easier and more efficient. This article proposes a novel method that finds an optimal path and controls the vehicle with an innovative method while considering its kinematics and environmental constraints and attempts to mathematically explain the behavior of a driver who can perform a complex scenario, called the articulated vehicle park maneuver, without falling into the jackknifing phenomena. In other words, the proposed method models how drivers park articulated vehicles in difficult situations, using different sub-scenarios and mathematical models. It also uses soft computing methods: the ANFIS-FCM, because this method has proven to be a powerful tool for managing uncertain and incomplete data in learning and inference tasks, such as learning from simulations, handling uncertainty, and
Rezaei Nedamani, HamidrezaSoleymanifard, MostafaSafaeifar, AliKhiabani, Parisa Masnadi
A new spatial calibration procedure has been introduced for infrared optical systems developed for cases where camera systems are required to be focused at distances beyond 100 meters. Army Combat Capabilities Development Command Armaments Center, Picatinny Arsenal, NJ All commercially available camera systems have lenses (and internal geometries) that cannot perfectly refract light waves and refocus them onto a two-dimensional (2D) image sensor. This means that all digital images contain elements of distortion and thus are not a true representation of the real world. Expensive high-fidelity lenses may have little measurable distortion, but if sufficient distortion is present, it will adversely affect photogrammetric measurements made from the images produced by these systems. This is true regardless of the type of camera system, whether it be a daylight camera, infrared (IR) camera, or camera sensitive to another part of the electromagnetic spectrum. The most common examples of large
Blind spots created by the driver-side B-pillar impair the ability of the driver to assess their surroundings accurately, significantly contributing to the frequency and severity of vehicular accidents. Vehicle manufacturers cannot readily eliminate the B-pillar due to regulatory guidelines intended to protect vehicular occupants in the event of side collisions and rollover incidents. Furthermore, assistance implements utilized to counteract the adverse effects of blind spots remain ineffective due to technological limitations and optical impediments. This paper introduces mechanisms to quantify the obstruction caused by the B-pillar when the head of the driver is facing forward and turning 90°, typical of an over-the-shoulder blind spot check. It uses the metrics developed to demonstrate the relationship between B-pillar width and the obstruction angle. The paper then creates a methodology to determine the movement required of the driver to eliminate blind spots. Ultimately, this
Baysal, Dilara N.
Thermal control coatings, i.e. coatings with different visible versus infrared emission, have been used by NASA on the Orbiter and Hubble Telescope to reflect sunlight, while allowing heat rejection via infrared emission. However, these coatings absorb at least 6 percent of the Sun’s irradiant power, limiting the minimum temperature that can be reached to about 200 K. NASA needs better solar reflectors to keep cryogenic fuel and oxidizers cold enough to be maintained passively in deep space for future missions
Advanced driver assistance systems rely on external sensors that encompass the vehicle. The reliability of such systems can be compromised by adverse weather, with performance hindered by both direct impingement on sensors and spray suspended between the vehicle and potential obstacles. The transportation of road spray is known to be an unsteady phenomenon, driven by the turbulent structures that characterise automotive flow fields. Further understanding of this unsteadiness is a key aspect in the development of robust sensor implementations. This paper outlines an experimental method used to analyse the spray ejected by an automotive body, presented through a study of a simplified vehicle model with interchangeable rear-end geometries. Particles are illuminated by laser light sheets as they pass through measurement planes downstream of the vehicle, facilitating imaging of the instantaneous structure of the spray. The tested configurations produce minor changes to the flow field, the
Crickmore, Conor JamesGarmory, AndrewButcher, Daniel
Digital shearography has many advantages, such as full-field, non-contact, high sensitivity, and good robustness. It was widely used to measure the deformation and strain of materials, also to the application of nondestructive testing (NDT). However, most digital sherography applications can only work in one field of view per measurement, and some small defects may not be detected as a result. Multiple measurements of different fields of view are needed to solve this issue, which will increase the measurement time and cost. The difficulty in performing multiple measurements may also increase for cases where the loading is not repeatable. Therefore, a system capable of measuring dual fields of view at the same time is necessary. The carrier frequency spatial phase shift method may be a good candidate to reach this goal because it can simultaneously record phase information of multiple images, e.g. two speckle interferograms with different fields of view. It then obtains the phase
Zheng, XiaowanGuo, BichengFang, SiyuanSia, BernardYang, Lianxiang
Modern vehicles use automated driving assistance systems (ADAS) products to automate certain aspects of driving, which improves operational safety. In the U.S. in 2020, 38,824 fatalities occurred due to automotive accidents, and typically about 25% of these are associated with inclement weather. ADAS features have been shown to reduce potential collisions by up to 21%, thus reducing overall accidents. But ADAS typically utilize camera sensors that rely on lane visibility and the absence of obstructions in order to function, rendering them ineffective in inclement weather. To address this research gap, we propose a new technique to estimate snow coverage so that existing and new ADAS features can be used during inclement weather. In this study, we use a single camera sensor and historical weather data to estimate snow coverage on the road. Camera data was collected over 6 miles of arterial roadways in Kalamazoo, MI. Additionally, infrastructure-based weather sensor visibility data from
Kadav, ParthGoberville, Nicholas APrins, KyleSiems-Anderson, AmandaWalker, CurtisMotallebiaraghi, FarhangCarow, KyleFanas Rojas, JohanHong, Guan YueAsher, Zachary
The towbarless aircraft taxiing system (TLATS) consists of the towbarless towing vehicle (TLTV) and the aircraft. The tractor realizes the towing work by fixing the nose wheel. During the towing process, the tractor driver may cause the aircraft to collide with an obstacle because of the blind spot of vision leading to the accident. The special characteristics of aircraft do not allow us to modify the structure of the aircraft to achieve collision avoidance. In this paper, three degrees of freedom (DOE) kinematic model of the tractor system is established for each of the two cases of pushing and pulling the aircraft, and the relationship between the coordinates of each danger point and the relatively articulated angle of the TLATS and the velocity of the midpoint of the rear axle is derived. Considering that there is an error between the velocity and relatively articulated angle measured by the sensor and the actual one, the effect of velocity and relatively articulated angle
Zhu, HengjiaXu, ZiShuoZhang, BaizhiZhang, Wei
As new headlight technologies begin to take hold in vehicular forward lighting systems and they become more commonplace on vehicles, new frameworks for evaluating the performance of these systems are being developed and promulgated. The objective of each of these systems is the same, namely, improving safety by ensuring that vehicle lighting provides sufficient visibility for drivers without negative impacts such as glare. Recent research has shown the direct link between improved driver visibility and reduced nighttime crashes. To the extent that headlight evaluation systems can be compared using visual performance modeling approaches, it should be possible to relate improved visibility from high-performing headlight systems to the potential for reduced nighttime crashes. In the present paper we demonstrate how visual performance modeling in conjunction with vehicle headlight evaluations can lead to predictions of improved safety and ultimately, beneficial economic impacts to society
Bullough, John D.
With the proliferation of ADAS and autonomous systems, the quality and quantity of the data to be used by vehicles has become crucial. In-vehicle sensors are evolving, but their usability is limited to their field of view and detection distance. V2X communication systems solve these issues by creating a cooperative perception domain amongst road users and the infrastructure by communicating accurate, real-time information. In this paper, we propose a novel Consolidated Object Data Service (CODS) for multi-Radio Access Technology (RAT) V2X communication. This service collects information using BSM packets from the vehicular network and perception information from infrastructure-based sensors. The service then fuses the collected data, offering the communication participants with a consolidated, deduplicated, and accurate object database. Since fusing the objects is resource intensive, this service can save in-vehicle computation costs. The combination of diverse input sources improves
Wippelhauser, AndrásChand, ArpitaDatta Gupta, SomakVaradi, Andras
Preclinical laboratories at academic facilities and contract research organizations (CROs) have traditionally relied on five main imaging modalities: optical, acoustic, x-ray, MRI, and nuclear. Now, photoacoustic imaging, which combines optical and acoustic modalities, is enabling some of the most promising medical research, including providing images of biological structures for increased visibility during surgery and facilitating the analysis of plaque composition to better diagnose and treat coronary artery disease (CAD
Self-driving cars, like the human drivers that preceded them, need to see what’s around them to avoid obstacles and drive safely
Visual sensors are widely used in autonomous vehicles (AVs) for object detection due to the advantages of abundant information and low-cost. But the performance of visual sensors is highly affected by low light conditions when AVs driving at nighttime and in the tunnel. The low light conditions decrease the image quality and the performance of object detection, and may cause safety of the intended functionality (SOTIF) problems. Therefore, to analyze the performance limitations of visual sensors in low light conditions, a controlled light experiment on a proving ground is designed. The influences of low light conditions on the two-stage algorithm and the single-stage algorithm are compared and analyzed quantificationally by constructing an evaluation index set from three aspects of missing detection, classification, and positioning accuracy. Five main environmental influencing factors are tested and analyzed in typical nighttime urban driving scenarios: illuminance, the lateral
Tong, JiaXing, XingyuGuo, RunqingJiang, WeiXiong, LuChen, Junyi
Optical combustion phenomena investigation is a common tool for passenger car and automotive engines. Large-bore engines for stationary and mobile applications, on the other hand, have a lower optical examination density. This is mainly due to the technically more complex design of the optical accesses that have to provide a larger field of view and withstand high mechanical and thermal loads. Nevertheless, an optical investigation of in-cylinder phenomena in large-bore engines is essential to optimize efficient and environmentally friendly combustion processes using new sustainable e-fuels. To realize a simple optical access with maximum observability of the combustion chamber, a fisheye optic for the direct integration into internal combustion engines was developed and used for in-cylinder Mie-scattering investigations of diesel and Oxymethylene Ether (OME3-5) pilot fuel spray of natural gas dual-fuel combustion processes in a MAN 35/44DF single-cylinder research engine. As this
Karmann, Stephan BernhardWeber, StefanStürzl, WolfgangPrager, MaximilianJaensch, MalteWachtmeister, Georg
This document describes a practical system for a user to determine observer-to-aircraft distances. These observer-to-aircraft distances can be either closest point of approach (CPA) distances during field measurements or overhead distances during acoustic certification tests. The system uses a digital camera to record an image of the subject aircraft. A method of using commercial software to obtain the distance from such an image is presented. Potential issues which may affect accuracy are discussed
A-21 Aircraft Noise Measurement Aviation Emission Modeling
Due to the major temperature difference between the inner cabin and the outer environment of the two-wheeler instrument cluster, there will be visible condensation on the inner side of the lens, giving rise to a cloudy patches. This results in obstructing visibility and is commonly observed in the cluster which is directly exposed to the outer environment. To avoid condensation, an anti-fog layer is applied on the inner side of the lens. After a certain amount of water absorption, the de-lamination of a layer from the glass (PMMA) substrate occurs leading to the formation of a white patch. The current study proposes a concept design to avoid the condensation of water vapor by reducing its concentration in the cluster, with the help of proper air circulation using air vents placed at different heights on the lower surface of the instrument cluster. For the purpose of study instrument cluster virtual model has been taken and the computational analysis of the same is presented
Bhullar, Taranvir Singh
Conventional dental photography technology has had a limitation in using inconvenient tools such as mirrors and cheek retractors. Dentists require basic teeth images from various angles, such as right/left buccal and maxillary/mandibular occlusal, for dental health inspection. To acquire these images, patients feel discomfort because dentists must put a mirror into the mouth to capture the reflected teeth image through a handheld camera. Information such as tooth arrangement and the location of tooth decay can be obtained through this process. A compact intraoral dental camera can overcome the discomfort and scan the condition of teeth. However, due to the restricted depth of field and field of view, the conventional device has limitations in close-up imaging for observing tooth decay in detail and wide-angle imaging for capturing the entire arrangement of teeth
This SAE Recommended Practice describes the test procedures for conducting rear impact occupant restraint and equipment mounting integrity tests for ambulance patient compartment applications. Its purpose is to describe crash pulse characteristics and establish recommended test procedures that will standardize restraint system and equipment mount testing for ambulances. Descriptions of the test set-up, test instrumentation, photographic/video coverage, and the test fixtures are included
Truck Crashworthiness Committee
This SAE Recommended Practice describes the test procedures for conducting frontal impact occupant restraint and equipment mounting integrity tests for ambulance patient compartment applications. Its purpose is to describe crash pulse characteristics and establish recommended test procedures that will standardize restraint system and equipment mounting testing for ambulances. Descriptions of the test set-up, test instrumentation, photographic/video coverage, and the test fixtures are included
Truck Crashworthiness Committee
This SAE Recommended Practice describes the test procedures for conducting side impact occupant restraint and equipment mounting integrity tests for ambulance patient compartment applications. Its purpose is to describe crash pulse characteristics and establish recommended test procedures that will standardize restraint system and equipment mounting testing for ambulances. Descriptions of the test set-up, test instrumentation, photographic/video coverage, and the test fixtures are included
Truck Crashworthiness Committee
This document provides information regarding ice detector technology and design. The SAE document AS5498 provides detailed information regarding the requirements, specifications, qualification, and certification of icing detection systems. This document is not meant to replace AS5498, but to enhance it by considering unique aspects of sensing technology and, in particular, those that may not be certificated at the time of this revision. To that end, an effort has been made not to duplicate information contained in AS5498. Icing rate information is included where applicable. The primary application is associated with ice forming on the leading edges of airfoils and inlets while the aircraft is in flight. Information related to detection of ice over cold fuel tanks and icing at low-velocity operation is included. The material is primarily applicable to fixed-wing aircraft. Unique requirements for engine inlets and rotorcraft are also provided
AC-9C Aircraft Icing Technology Committee
This SAE standard applies to self-propelled driver operated sweepers and scrubbers as defined in SAE J2130-1
MTC2, Sweeper, Cleaner, and Machinery
Effective simulation-based testing of autonomous vehicles requires the exploration of vehicle performance against a wide variety of rare and unusual road and intersection geometries. We present a high-definition road and intersection generator called JunctionArt. JunctionArt takes as input a series of control lines and generates a series of roads and intersections which conforms to them. Roads exhibit different types of lane types such as turn lanes, one-way streets, and multiple lanes, while intersections feature a range of incident roads (three to seven incident roads), leading to a variety of geometries and interior connecting lanes. These roads are output in the OpenDRIVE format and, hence, are interoperable with a wide range of tools and simulation environments. Multiple metrics are computed over generated roads—field of view (FOV), maximum turn curvature (maxCurvature), corner deviation angle (cornerDeviation), complexity, conflictArea, and the number of interior connection lanes
Muktadir, Golam MdJawad, AbdulParanjape, IshaanWhitehead, JimShepelev, Aleksey
Dynamic simulation sled testing can represent various automotive collision conditions. Acceleration conditions during sled testing are readily reproducible and can be tuned to simulate collision events that occur during vehicle impacts with a fixed barrier or vehicle. Sled tests are conducted on automotive vehicle bodies or other structures to obtain valuable information. This information can be used to evaluate the dynamic performance of, but not limited to, vehicle restraint systems, vehicle seating systems, and body closure systems
Impact and Rollover Test Procedures Standards Committee
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