Browse Topic: Signs, markings, and symbols

Items (34)
Advanced Driver Assistance Systems (ADAS) is a growing technology in automotive industry, intended to provide safety and comfort to the passengers with the help of variety of sensors like radar, camera, Light Detection and Ranging (LIDAR) etc. The camera sensors in ADAS used extensively for the purpose of object detection and classification which are used in functions like Traffic sign recognitions, Lane detections, Object detections and many more. The development and testing of camera-based sensors involves the greater technologies in automotive industry, especially the validation of camera hardware and software. The testing can be done by various processes and methods like real environment test, model-based testing, Hardware, and Software in loop testing. A fully matured ADAS camera system in the market comes after passing all these verification processes, yet there are lot of new failures popping up in the field with this ADAS system. Since ADAS is an evolving technology, many new
R, ManjunathSaddaladinne, JagadeeshPachaiyappan, Sathish
Investigating human driver behavior enhances the acceptance of the autonomous driving and increases road safety in heterogeneous environments with human-operated and autonomous vehicles. The previously established driver fingerprint model, focuses on the classification of driving styles based on CAN bus signals. However, driving styles are inherently complex and influenced by multiple factors, including changing driving environments and driver states. To comprehensively create a driver profile, an in-car measurement system based on the Driver-Driven vehicle-Driving environment (3D) framework is developed. The measurement system records emotional and physiological signals from the driver, including the ECG signal and heart rate. A Raspberry Pi camera is utilized on the dashboard to capture the driver's facial expressions and a trained convolutional neural network (CNN) recognizes emotion. To conduct unobtrusive ECG measurements, an ECG sensor is integrated into the steering wheel
Ji, DejieFlormann, MaximilianWarnecke, Joana M.Henze, RomanDeserno, Thomas M.
To provide specifications for lighting and marking of industrial wheeled equipment whenever such equipment is operated or traveling on a highway
OPTC3, Lighting and Sound Committee
This SAE Recommended Practice specifies graphic symbols for operator controls, gauges, tell-tales, indicators, instructions, and warning against risks in small craft and for engines and other equipment intended to be used in small craft
Marine Technical Steering Committee
This SAE Standard establishes minimum requirements for lighting and marking earthmoving work machinery as defined in SAE J1116. It may be used as guidance for other types of machinery. Earthmoving work machines are normally operated off-highway. Therefore, this SAE document is not intended to be used as a basis for regulations by those having authority over on-highway motor vehicles
OPTC3, Lighting and Sound Committee
Emergency personnel and first responders have the opportunity to document crash scenes while evidence is still recent. The growth of the drone market and the efficiency of documentation with drones has led to an increasing prevalence of aerial photography for incident sites. These photographs are generally of high resolution and contain valuable information including roadway evidence such as tire marks, gouge marks, debris fields, and vehicle rest positions. Being able to accurately map the captured evidence visible in the photographs is a key process in creating a scaled crash-scene diagram. Image rectification serves as a quick and straightforward method for producing a scaled diagram. This study evaluates the precision of the photo rectification process under diverse roadway geometry conditions and varying camera incidence angles
Hashemian, AlirezaTerpstra, Toby
Analysis of pedestrian-to-vehicle collisions can be complex due to the nature of the interaction and the physics involved. The scarcity of evidence like video evidence (from CCTV or dashcams), data from the vehicle's ECU, witness accounts, and physical evidence such as tyre marks, complicates the analysis of these incidents. In cases with limited evidence, current forensic methods often rely on prolonged inquiry processes or computationally intensive simulations. Without adequate data, accurately estimating pedestrian kinematics and addressing hit-and-run scenarios becomes challenging. This research provides an alternative approach to enhancing pedestrian forensic analysis based on machine learning (ML) algorithms trained on over 3000 multi-body computer simulations with a diverse set of vehicle profiles and pedestrian anthropometries. Leveraging information such as vehicle profile, damage, and pedestrian attributes like height and weight, the ML algorithm estimates essential
Shrinivas, VadhirajBastien, ChristopheDavies, HuwDaneshkhah, AlirezaHardwicke, JosephNeal-Sturgess, CliveLamaj, Albi
SAE J115 specifies the relevant ISO standards for application to safety labels for use on off-road work machines as defined in SAE J1116
HFTC2, Machine Displays and Symbols
This SAE Standard specifies symbols (i.e. conventional signs) for use on controls, indicators, and tell-tales applying to passenger cars, light and heavy commercial vehicles, and buses, to ensure identification and facilitate use. It also indicates the colors of possible optical tell-tales, which inform the driver of either correct operation or malfunctioning of the related devices
Controls and Displays Standards Committee
In the pursuit of advancing autonomous vehicles (AVs), data-driven algorithms have become pivotal in replacing human perception and decision-making. While deep neural networks (DNNs) hold promise for perception tasks, the potential for catastrophic consequences due to algorithmic flaws is concerning. A well-known incident in 2016, involving a Tesla autopilot misidentifying a white truck as a cloud, underscores the risks and security vulnerabilities. In this article, we present a novel threat model and risk assessment (TARA) analysis on AV data storage, delving into potential threats and damage scenarios. Specifically, we focus on DNN parameter manipulation attacks, evaluating their impact on three distinct algorithms for traffic sign classification and lane assist. Our comprehensive tests and simulations reveal that even a single bit-flip of a DNN parameter can severely degrade classification accuracy to less than 10%, posing significant risks to the overall performance and safety of
Kim, InsupLee, GanggyuLee, SeyoungChoi , Wonsuk
SAE J1362 presents graphical symbols for use on operator controls and other displays on off-road work machines as defined in SAE J1116, plus mobile cranes, but excluding agricultural tractors. Symbols for agricultural tractors are covered by ASABE S304, ISO 3767-1, and ISO 3767-2
HFTC2, Machine Displays and Symbols
This SAE Recommended Practice covers the safety alert symbol intended for use on construction and industrial equipment as defined in SAE J1116 and on agricultural tractors and machinery as defined in ASABE S390
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on off-road work machines as defined in SAE J1116 plus mobile cranes but excluding agricultural tractors. Symbols for agricultural tractors are covered by ASABE S304, ISO 3767-1, and ISO 3767-2
HFTC2, Machine Displays and Symbols
This SAE Recommended Practice covers the safety alert symbol intended for use on construction and industrial equipment as defined in SAE J1116 and on agricultural tractors and machinery as defined in ASABE S390
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on off-road work machines as defined in SAE J1116 plus mobile cranes but excluding agricultural tractors. Symbols for agricultural tractors are covered by ASABE S304, ISO 3767-1, and ISO 3767-2
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on off-road work machines as defined in SAE J1116 plus mobile cranes. Symbols for agricultural equipment other than the basic agricultural tractor are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on off-road work machines as defined in SAE J1116 plus mobile cranes. Symbols for agricultural equipment other than the basic agricultural tractor are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
This SAE Recommended Practice presents the general uses, limitations on use, and appearance of the safety alert symbol
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on construction, general purpose industrial, agricultural, forestry, and specialized mining categories of off-road, self-propelled work machines as defined in SAE J1116. Symbols for agricultural equipment other than the basic agricultural tractor (for example, combine harvesters, cotton harvesters, forage harvesters, balers, and sprayers) are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on construction, general-purpose industrial, agricultural, forestry, and specialized mining categories of off-road self-propelled work machines, as defined in SAE J1116. Symbols for agricultural equipment other than the basic agricultural tractor (for example, combine harvesters, cotton harvesters, forage harvesters, balers, and sprayers) are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on construction, general-purpose industrial, agricultural, forestry, and specialized mining categories of off-road self-propelled work machines, as defined in SAE J1116. Symbols for agricultural equipment other than the basic agricultural tractor (for example, combine harvesters, cotton harvesters, forage harvesters, balers, and sprayers) are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on construction, general purpose industrial, agricultural, forestry, and specialized mining categories of off-road self-propelled work machines, as defined in SAE J1116. Symbols for agricultural equipment other than the basic agricultural tractor (for example, combine harvesters, cotton harvesters, forage harvesters, balers and sprayers) are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
SAE J1362 presents graphical symbols for use on operator controls and other displays on construction, general purpose industrial, agricultural, forestry, and specialized mining categories of off-road self-propelled work machines, as defined in SAE J1116. Symbols for agricultural equipment other than the basic agricultural tractor (e.g., combine harvesters, cotton pickers, sprayers, forage harvesters, and balers) are covered by ASAE S304 and are therefore excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
This SAE Recommended Practice presents the general uses, limitations on use, and appearance of the safety alert symbol
HFTC2, Machine Displays and Symbols
The instrument design criteria and grouping described are recommended to manufacturers of construction and industrial equipment for all new designs
HFTC2, Machine Displays and Symbols
SAE J1362 is applicable to those controls, indicators, and tell-tales which are fitted on the instrument panel or in the immediate vicinity of the operator on Construction, General Purpose Industrial, Agricultural, Forestry, and Specialized Mining categories of off-road, self-propelled work machines, as defined in SAE J1116 JUN80. Powered industrial trucks are excluded from the scope of SAE J1362, Symbols for agricultural equipment other than the basic agricultural tractor (e.g., combines, forage harvesters) are covered by ASAE S304 and are, therefore, also excluded from the scope of SAE J1362
HFTC2, Machine Displays and Symbols
This recommended practice presents the general uses, limitations on use, and appearance of the safety alert symbol
HFTC2, Machine Displays and Symbols
This recommended practice presents the general uses, limitations on use, and appearance of the safety alert symbol
HFTC2, Machine Displays and Symbols
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