Results 261 to 270 of about 1,235,898 (307)
Some of the next articles are maybe not open access.
Operational design domain of autonomous vehicles at skewed intersection
Accident Analysis & Prevention, 2021Sight distance is an important indicator of vehicle safety at intersections. Traditional intersection design methods might be not suitable for the autonomous vehicle (AV) because its perception differs from that of the human driver, on which AASHTO Greenbook 2018 are based.
Wang X. +4 more
openaire +3 more sources
Operational design domain of automated vehicles at freeway entrance terminals
Accident Analysis & Prevention, 2022The safe operation of automated vehicles (AVs) is now on the research agenda, with attention to the AV's operational design domain (ODD), which defines the conditions in which its driving automation system is designed to function. Due to the limited sight line on freeway entrance terminals, crashes involving AVs continue to occur during the merging ...
Ye, Xinchen, Wang, Xuesong
openaire +3 more sources
Operational Design Domain Monitoring with Uncertain Measurements
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)Intelligent vehicles are constantly increasing their automation levels; thus, it is necessary to ensure that such vehicles operate under conditions designed to guarantee correct and safe operation.
Thibault Charmet +3 more
openaire +2 more sources
Monitoring Operational Design Domain Compliance in Intelligent Vehicles
2025 IEEE Intelligent Vehicles Symposium (IV)Advanced driver assistance systems (ADAS) and automated driving functions are becoming integral to modern vehicles. Ensuring their safety and reliability requires validating their operation within well-defined Operational Design Domains (ODD). Monitoring
Thibault Charmet +3 more
openaire +2 more sources
Using Operational Design Domain in Hazard Identification for Automated Systems
2022 18th European Dependable Computing Conference (EDCC), 2022Artificial Intelligence (AI) based components require new approaches to identify the risks they introduce in Automated Systems (ASs). This paper presents a methodology designed to support the identification of hazards in ASs. This methodology is built on
Ollier, Guillaume +4 more
openaire +3 more sources
Extending Operational Design Domain for Perception Systems Through Robust Learning
IEEE Transactions on Intelligent VehiclesPerception modules in Autonomous Driving Systems (ADS) provide excellent performance in simple, constrained environments but generally have precarious performance in real driving situations with various weather and lighting conditions.
Chen Sun +5 more
openaire +2 more sources
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), 2021
In recent years, the research of next-generation railway focuses on enhancing the autonomy of unmanned train with AI techniques to identify, analyze and safely handle uncertain environments and emergencies.
Ru Niu +3 more
openaire +2 more sources
In recent years, the research of next-generation railway focuses on enhancing the autonomy of unmanned train with AI techniques to identify, analyze and safely handle uncertain environments and emergencies.
Ru Niu +3 more
openaire +2 more sources
Operational Design Domain as Key to Success
ATZelectronics worldwide, 2022Gabriel Seiberth
openaire +2 more sources
Operational Design Domain als Schlüssel zum Erfolg
ATZelektronik, 2022Gabriel Seiberth
openaire +2 more sources
Operational Design Domain for Automated Driving Systems: Taxonomy Definition and Application
2023 IEEE Intelligent Vehicles Symposium (IV), 2023To allow the large-scale deployment of automated and connected vehicles, their safety must be ensured. The Operational Design Domain (ODD) aims to define under which conditions an Automated Driving System (ADS) can operate safely: speed, type of road ...
Léo Mendiboure +5 more
semanticscholar +1 more source