Browse Topic: Cartography

Items (598)
ABSTRACT Future autonomous combat vehicles will need to travel off-road through poorly mapped environments. Three-dimensional topography may be known only to a limited extent (e.g. coarse height), but this will likely be noisy and of limited resolution. For ground vehicles, 3D topography will impact how far ahead the vehicle can “see”. Higher vantage points and clear views provide much more useful path planning data than lower vantage points and occluded views from trees and structures. The challenge is incorporating this knowledge into a path planning solution. When should the robot climb higher to get a better view or else continue moving along the shortest path predicted by current information? We investigated the use of Deep Q-Networks (DQN) to reason over this decision space, comparing performance to conventional methods. In the presence of significant sensor noise, the DQN was more successful in finding a path to the target than A* for all but one type of terrain. Citation: E
Martinson, EricPurman, BenDallas, Andy
ABSTRACT To address the need for rapid capture of terrain profiles, and changes in terrain, researchers from Michigan Tech demonstrated a UAS collection system, during a live exercise, supported by the North Atlantic Treaty Organization’s (NATO) Science and Technology Organization (STO). The UAS collection system was deployed to provide high resolution topography (resolution less than 1 cm) with a terrain collection rate greater than 1 meter per second and results were processed within minutes. The resulting topography is of sufficient quality to demonstrate that the technique can be applied to update mobility models, as well as the detection of traverse by ground vehicles
Dobson, Richard J.Buller, William T.Bradley, Scott A.
ABSTRACT Accurate terrain mapping is of paramount importance for motion planning and safe navigation in unstructured terrain. LIDAR sensors provide a modality, in the form of a 3D point cloud, that can be used to estimate the elevation map of the surrounding environment. But, working with the 3D point cloud data turns out to be challenging. This is primarily due to the unstructured nature of the point clouds, relative sparsity of the data points, occlusions due to negative slopes and obstacles, and the high computational burden of traditional point cloud algorithms. We tackle these problems with the help of a learning-based, efficient data processing approach for vehicle-centric terrain reconstruction using a 3D LIDAR. The 3D LIDAR point cloud is projected on the ground plane, which is processed by a generative adversarial network (GAN) architecture in the form of an image to fill in the missing parts of the terrain heightmap. We train the GAN model on artificially generated datasets
Sutavani, SarangZheng, AndrewJoglekar, AjinkyaSmereka, JonathonGorsich, DavidKrovi, VenkatVaidya, Umesh
Axles are a prominent part of automotive design. Along with a power transmission and differential system, axles support a vehicle’s weight and road-load reactions. Axles carry different attachments such as brakes and suspensions using brackets. Welds play an important role in design and longevity of bracket assemblies. Welds can be susceptible to fractures caused by intrusions akin to cracks and/or discontinuities, compounded by stress concentration due to weld profile and welding processes. Additionally, the simultaneous optimization of both brackets and welds remains a challenge with limited available methods. While topography or shape optimization techniques can enhance bracket robustness by minimizing compliance as the objective, this approach might inadvertently elevate the likelihood of weld fracture if weld dimensions are not concurrently updated. In this endeavor, compliance is used to improve weld life without affecting bracket robustness by using the Vertex Morphing
Wagh, PranavSutar, MohanNilangekar, Abhijit
Quasicrystalline (QC) coatings were evaluated as leading-edge protection materials for rotor craft blades. The QC coatings were deposited using high velocity oxy-fuel thermal spray and predominantly Al-based compositions. Ice adhesion, interfacial toughness with ice, wettability, topography, and durability were assessed. QC-coated sand-blasted carbon steel exhibited better performance in terms of low surface roughness (Sa ~ 0.2 μm), liquid repellency (water contact angles: θadv ~85°, θrec ~23°), and better substrate adhesion compared to stainless steel substrates. To enhance coating performance, QC-coated sand-blasted carbon steel was further exposed to grinding and polishing, followed by measuring surface roughness, wettability, and ice adhesion strength. This reduced the surface roughness of the QC coating by 75%, resulting in lower ice adhesion strengths similar to previously reported values (~400 kPa). The durability of polished QC coating was evaluated using sand and rain erosion
Yang, QimengDolatabadi, AliGolovin, Kevin
An ability to design automotive systems with optimum parameters has become very crucial in the competitive industry. Today, there are many shape optimization algorithms to choose, depending on the nature of the design parameters. Compared with the topology optimization, a topography optimization can be a good alternative. Because of the less number of design variables required for the same optimization model, the topography optimization process is generally faster. In this study, an assembly consisting of several identical sheet metal components is employed for demonstrating the effectiveness of topography optimization, in which various beads are to be derived with appropriate heights and widths, where needed, at the discretion of the algorithm to attempt to render the design variables within the constraints. The identical pieces are arranged around an axis of revolution such that the geometric shape is cyclic symmetric at a constant angular spacing. Despite the geometric symmetry
Krishnan, ParanthamanYang, Zane
When measuring with light, the lateral extent of the structures that can be resolved by an optical imaging system is fundamentally diffraction limited. Overcoming this limitation is a topic of great interest in recent research, and several approaches have been published in this area. In a recent study published in the Journal of Optical Microsystems, a team of researchers from the University of Kassel in Germany presented an approach that uses microspheres placed directly on the surface of the object to extend the limits of interferometric topography measurements for optical resolution of small structures
Vehicle pose estimation is a key technology for autonomous vehicles and a prerequisite for path planning and vehicle control. Visual localization has gradually attracted extensive attention from academia and industry due to its low cost and rich semantic information. However, the incremental calculation principle of the odometry inevitably leads to the accumulation of localization error with the travel distance. To solve this problem, we propose a position correction algorithm based on lightweight landmark map, and further compensate the localization error by analyzing the error characteristics. The proposed algorithm takes the stop lines on the road as landmarks, and pairs bag-of-word vectors with the positions of the corresponding landmarks. Once landmarks in the map are encountered and successfully associated, the position of the landmarks can be exploited to effectively reduce the drift of the odometry. We also present a reliable landmark map construction method. Experiments show
Zhuo, GuirongFu, WufeiXue, Feng
In an increasingly solar world, the need is growing for economical, large-scale backup systems to provide power when the sun is down and the air is calm. Lithium-ion (Li-ion) batteries are too expensive, and other options — such as pumped hydro — require specific topography that’s not always available
An object hidden below ground has been located using quantum technology — a long-awaited milestone with profound implications for industry, human knowledge, and national security
The proposed UAV can be used to triangulate the areas of unnatural deforestation, by processing the areas undergoing land cover transition. Thus, restraining illegal logging and deforestation and, ultimately, facilitating the ecological succession cycle. It identifies the green cover which helps in predicting the population of the feeding animal species and the biodiversity. The system will be influential for curbing the exploitation of landscapes with heterogeneous habitats and diverse topographical features. The model employs onboard automated controller - ARDUPILOT MissionPlanner, a flight controller, GPS and telemetry module. The setup collects data from the controller such as Altitude, GPS location, Pitch, Roll, etc. and transmits it to the Ground Control Station (GCS) during cruise. The mission planner is programmed by selecting the target survey area which is divided into a grid, Home which is the launch point and Waypoints which will be crossed autonomously. Through the cruise
Devi, MonishaNeigapula, KeerthanaAnand, SumitTiwari, AnawilKumar, Siddharth
Aerial photoscanning is a software-based photogrammetry method for obtaining three-dimensional site data. Ground Control Points (GCPs) are commonly used as part of this process. These control points are traditionally placed within the site and then captured in aerial photographs from a drone. They are used to establish scale and orientation throughout the resulting point cloud. There are different types of GCPs, and their positions are established or documented using different technologies. Some systems include satellite-based Global Positioning System (GPS) sensors which record the position of the control points at the scene. Other methods include mapping in the control point locations using LiDAR based technology such as a total station or a laser scanner. This paper presents a methodology for utilizing publicly available LiDAR data from the United States Geological Survey (USGS) in combination with high-resolution aerial imagery to establish GCPs based on preexisting site landmarks
Terpstra, TobyMckelvey, NathanKing, EricHashemian, AlirezaKing, Charles
Durability engineering for vehicles is about relating real operational loading to the actual strength of the product and its components. In the first part of this paper, we show how to calculate failure probabilities and safety factors based on the load and strength distributions. We discuss the uncertainty within the estimations, which is considerably large in case of extremely small failure probabilities as required for safety critical components. In the second part, we focus on modelling and simulating the loads based on real vehicle usage. The resulting statistics allows to understand and quantify the usage variability. The idea is to simulate thousands of vehicle life spans of, say, 300.000 km or 15.000 h of operation each. The input data for such simulations can be either geographic data like road network, topography, road conditions, traffic data, and points of interest. Alternatively, or supplementary, it can also be properly segmented rich data from measurements in real usage
Dressler, KlausSpeckert, Michael
An analysis of shoreline change, dune volume, beach volume, beach slope, and cumulative elevation change along the northern Outer Banks of North Carolina near the CHL Field Research Facility over a 6-year study period. Army Engineer Research and Development Center, Vicksburg, Mississippi The dynamic nature of the nation's coastlines necessitates frequent shoreline monitoring and mapping. The U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory (CHL), Field Research Facility (FRF), has collected datasets on the nearshore zone's changing conditions for over 40 years. During the course of these efforts, CHL has continued to develop different technologies to refine shoreline monitoring techniques, with a particular focus on the application of remote sensing technology to coastal monitoring. Light detection and ranging (lidar) scanners have proven useful for the CHL coastal measurement efforts, providing highly detailed data of coastal change and
The dynamic nature of the nation’s coastlines necessitates frequent shoreline monitoring and mapping. The U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory (CHL), Field Research Facility (FRF), has collected datasets on the nearshore zone’s changing conditions for over 40 years. During the course of these efforts, CHL has continued to develop different technologies to refine shoreline monitoring techniques, with a particular focus on the application of remote sensing technology to coastal monitoring. Light detection and ranging (lidar) scanners have proven useful for the CHL coastal measurement efforts, providing highly detailed data of coastal change and hydro-dynamic processes
Highly autonomous vehicles have drawn the interests of many researchers in recent years. For highly autonomous vehicles, a high-definition (HD) map is crucial since it provides accurate information for autonomous driving. However, due to the possible fast-changing environment, the performance of HD maps will deteriorate over time if timely updates are not ensured. Therefore, this paper studies the updating of lightweight HD maps in closed areas. Firstly, a novel two-layer map model called a lightweight HD map is introduced to support autonomous driving in a flexible and efficient way. Secondly, typical updating of scenarios in closed areas with non-paved roads is abstracted into operations including area border expansion, road addition, and road deletion. Meanwhile, a map updating framework is proposed to address the issue of map updating in closed areas. Finally, an experiment is conducted to demonstrate the feasibility and effectiveness of the proposed map updating approach
Wang, XiaoweiWei, QingkaiXie, GuotaoZhou, HuajianSun, NingHu, Manjiang
In the field of automatic driving, the combination of 3D LIDAR and inertial measurement unit (IMU) is a common sensor configuration scheme in laser point-cloud localization, high-precision map making and point-cloud target detection. So it is critical to calibrate LIDAR and IMU accurately. At present, due to the large volume and high cost of 3D LIDAR with high-line-number(Such as 64 lines or 128 lines), the configuration scheme of using multiple low-line-number 3D LIDARs appears in the automatic driving vehicle sensing system. However, the common calibration methods are not suitable for multi 3D LIDARs and IMU parameters calibration on autonomous vehicle, which have the disadvantages of cumbersome implementation and low accuracy. In this paper, a joint calibration test platform composed of dual LIDARs and IMU is assembled, and a method of precise automatic calibration based on GPS/RTK data is proposed. Firstly, the initial parameters of the main 3D LIDAR and IMU are obtained by hand
Zhang, JinghuaHe, RuiWu, JianLi, ShuaiChen, XuesongDu, ZhiqiangChen, GuoshengChen, Zhicheng
The automotive industry has a lack of knowledge when the subject comes to screw joint technique, especially regarding tribological interferences. These themes are not commonly explored together on studies to comprehend the behavior between contacting surfaces. When there is a specific goal, as the one proposed in this paper: to ensure all control levels to eliminate sealing deficiency risks inside combustion chamber in a low investment cost, these needs are even higher. The tribological analysis between diesel engine block and its cylinder head is essential to understand the minimum requirements to achieve the best possible sealing, mostly when it comes to assembly tightening process routines. In this sense, this work puts forward a methodology to set best tightening conditions in order to guarantee the sealing to whatever surface topography. Additionally, the acquired knowledge can be used to other similar applications associated to bolted joints, such as in other vehicle parts. Even
Porto, Igor GonzagaCousseau, Tiago
High definition (HD) maps provide fundamental data support for intelligent connected vehicles (ICV). Light detection and ranging (LiDAR) has become an essential technique for HD map construction, environmental perception, localization, and other ICV tasks due to its advantage of high scanning accuracy and dense point cloud generation. LiDAR-based simultaneous localization and mapping (SLAM) technology is one prevailing method in HD map construction. However, in a SLAM algorithm, the pose estimation error is prone to accumulate and result in the map’s drift and structural error after long-distance travel. In order to avoid such problems, it is necessary to associate closed-loop data and correct the poses. This paper proposes a feature descriptor to detect loop closure, use a two-phase registration method to match closed-loop data, and optimize the map based on factor graph optimization. First, we calculate the feature direction based on the local distribution of planar feature points
Jiang, KunZhang, XiaolongQin, BingjiaYang, MengmengYu, ChunleiYang, Diange
A wet clutch model is required in automotive propulsion system simulations for enabling robust design and control development. It commonly assumes Coulomb friction for simplicity, even though it does not represent the physics of hydrodynamic torque transfer. In practice, the Coulomb friction coefficient is treated as a tuning parameter in simulations to match vehicle data for targeted conditions. The simulations tend to deviate from actual behaviors for different drive conditions unless the friction coefficient is adjusted repeatedly. Alternatively, a complex hydrodynamic model, coupled with a surface contact model, is utilized to enhance the fidelity of system simulations for broader conditions. The theory of elastic asperity deformation is conventionally employed to model clutch surface contact. However, recent examination of friction material shows that the elastic modulus of surface fibers significantly exceeds the contact load, implying no deformation of fibers. This article
Haria, HiralPopejoy, DavidDivinagracia, RachelFujii, YujiMiyagawa, MasatoshiTsuchiya, TakahiroNakamura, ShinjiWendel, MatthewKatopodes, Nikolaos
Small unmanned aerial systems have gained prominence in their use as tools for mapping the 3-dimensional characteristics of accident sites. Typically, the process of mapping an accident site involves taking a series of overlapping, high resolution photographs of the site, and using photogrammetric software to create a point cloud or mesh of the site. This process, known as image-based scanning, is explored and analyzed in this paper. A mock accident site was created that included a stopped vehicle, a bicycle, and a ladder. These objects represent items commonly found at accident sites. The accident site was then documented with several different unmanned aerial vehicles at differing altitudes, with differing flight patterns, and with different flight control software. The photographs taken with the unmanned aerial vehicles were then processed with photogrammetry software using different methods to scale and align the point clouds. The point cloud data produced with different vehicle
Carter, NealHashemian, AlirezaMckelvey, Nathan
Sector mesh modeling is the dominant computational approach for combustion system design optimization. The aim of this work is to quantify the errors descending from the sector mesh approach through three geometric modeling approaches to an optical diesel engine. A full engine geometry mesh is created, including valves and intake and exhaust ports and runners, and a full-cycle flow simulation is performed until fired TDC. Next, an axisymmetric sector cylinder mesh is initialized with homogeneous bulk in-cylinder initial conditions initialized from the full-cycle simulation. Finally, a 360-degree azimuthal mesh of the cylinder is initialized with flow and thermodynamics fields at IVC mapped from the full engine geometry using a conservative interpolation approach. A study of the in-cylinder flow features until TDC showed that the geometric features on the cylinder head (valve tilt and protrusion into the combustion chamber, valve recesses) have a large impact on flow complexity. As a
Perini, FedericoBusch, StephenKurtz, EricWarey, AlokPeterson, Richard C.Reitz, Rolf
Exposure to carbon monoxide (CO) gas can cause health risks for users of recreational boats and watercraft. Activities such as waterskiing, wakeboarding, tubing, and wakesurfing primarily utilize gasoline engine-driven vessels which produce CO as a combustion by-product. Recent watersports trends show an increase in popularity of activities which take place closer to the stern of the boat (such as wakesurfing) as compared to traditional waterskiing and wakeboarding. Advancements in gas emissions treatment in marine engine exhaust system designs have reduced risks for CO exposure in some boats. This article presents results from on-water testing of three recreational boats, reports average and maximum values of CO levels under various conditions, and exhibits mapping of the density of CO relative to the stern of the test vessels
Warner, Mark
In-wheel motors offer an optimized solution for novel drivetrain architectures of future electric vehicles that could penetrate into the mainstream automotive industry, moving the wheel actuation where it’s required, directly inside the wheels. Obtainable literature mainly deals with optimization of electromagnetically active parts, however, mechanical design of electromagnetically passive parts that indirectly influence motor performance also requires detailed analysis and extensive validation. To meet the optimal performance requirements (also durable) of an in-wheel traction motor, their mechanical design requires topology optimization of housing elements, thermal mapping, geometrical and dimensional tolerance checks and selection of proper hub bearings, in order to assure consistent electromagnetic behavior stability The following paper uniquely describes the review of loads acting on an in-wheel motor, the workflow of a typical mechanical design process, testing, and validation
Frajnkovic, MaticOmerovic, SenadRozic, UrosKern, JurijConnes, RaphaelRener, KristofBiček, Matej
Dirt entrance on internal combustion engine's air inlet systems are a common issue to fleet owners. Heavy-duty engines are more susceptible to this due its great air volume aspirated. Aiming to avoid it manufacturers employ increasingly resources to conduct research in the field and to develop more efficient air filtration systems to reduce the probability of this occurs. Anyway, the early diagnosis are the best way to avoid expensive damages to the engine. This study aims to explain how fail due dust aspiration occurs and how to interpret periodic oil analysis in order to preserve the power units and reduce the risk of incorrect diagnosis
Eric L., MartinsFernando C. P., Ulhôa
This standard, SAE1002, is a republication of FGDC-STD-011-2001, and defines a preferred USNG for mapping applications at scales of approximately 1:1000000 and larger. It defines how to present Universal Transverse Mercator (UTM) coordinates at various levels of precision. It specifies the use of those coordinates with the grid system defined by the Military Grid Reference System (MGRS). Additionally, it addresses specific presentation issues such as grid spacing. Together, the UTM coordinate representation, the MGRS grid, and the specific grid presentation requirements define the USNG. Use of USNG grid coordinates may be useful, and even desirable, within some systems or enterprises. The decision to use USNG grid coordinates or some other coordinate system internal to geographic information systems or location service appliances is left to the discretion of the system developer as long as the human interface provides for USNG grid coordinate readout as one option
PNT Position, Navigation, and Timing
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