Results 11 to 20 of about 10,072,306 (137)
Specification-Based Testing of the Image-Recognition Performance of Automated Driving Systems
IEEE AccessAutomated driving systems (ADSs) are complex entities comprising numerous components, and traditional testing methods often struggle to ensure their safety, primarily due to the diversity driving environments.
Kento Tanaka +4 more
doaj +2 more sources
Some statistical challenges in automated driving systems
Applied Stochastic Models in Business and Industry, Volume 39, Issue 5, Page 629-652, September/October 2023., 2023 AbstractAutomated driving systems are rapidly developing. However, numerous open problems remain to be resolved to ensure this technology progresses before its widespread adoption. A large subset of these problems are, or can be framed as, statistical decision problems.
William N. Caballero +2 more
wiley +2 more sources
Applied Sciences, 2021 Automated Driving Systems (ADSs) commend a substantial reduction of human-caused road accidents while simultaneously lowering emissions, mitigating congestion, decreasing energy consumption and increasing overall productivity.
Rihards Novickis +13 more
doaj +1 more source
A Survey of Autonomous Driving:
IEEE Access, 2020 Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise.
Ekim Yurtsever +3 more
doaj +1 more source
IEEE Access, 2022 The safety validation of Automated Driving Systems (ADSs) needs a combination of tools to ensure testing in a broad range of traffic scenarios. Among the others, virtual testing is expected to play a major role in the future.
Riccardo Dona +4 more
doaj +1 more source
Minimal Risk Condition for Safety Assurance of Automated Driving Systems
, 2021 We have yet to see wide deployment of automated driving systems (ADSs) on public roads. One of the reasons is the challenge of ensuring the systems' safety.
Brännström, Mattias +5 more
core +3 more sources
Journal of Advanced Transportation, 2023 The California Department of Motor Vehicles (DMV) reports, including disengagement and collision reports, provide information on each accident or disengagement activity for on-road testing of autonomous driving systems (ADSs) and autonomous vehicles (AVs)
Kuo-Wei Wu +3 more
doaj +1 more source
Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems
Journal of Advanced Transportation, Volume 2023, Issue 1, 2023., 2023 A safe introduction of automated driving systems on urban roads requires a thorough understanding of the traffic conflicts and accidents. This understanding is paramount to constructively safeguard these systems, i.e., to design a system that exhibits an adequate performance even in critical situations.
Stefan Babisch +5 more
wiley +1 more source
A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework
Sensors, 2020 Automated Driving Systems (ADSs) require robust and scalable control systems in order to achieve a safe, efficient and comfortable driving experience. Most global planners for autonomous vehicles provide as output a sequence of waypoints to be followed ...
Rodrigo Gutiérrez +8 more
doaj +1 more source
TrustFSDV: Framework for Building and Maintaining Trust in Self-Driving Vehicles
IEEE Access, 2022 The deployment of fully self-sufficient, self-driving vehicles (SDVs) to city roads in a diverse range of benefit-driven concepts is on the horizon where the higher levels of automation with automated driving systems (ADSs) are being installed on ...
Kaya Kuru
doaj +1 more source