A survey on data-driven scenario generation for automated vehicle testing
Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …
claim that many cutting-edge automated driving functions have been developed, how to …
A Review on Scenario Generation for Testing Autonomous Vehicles
J Cai, S Yang, H Guang - 2024 IEEE Intelligent Vehicles …, 2024 - ieeexplore.ieee.org
Autonomous driving holds great potential for reducing traffic accidents. Despite many
advancements in autonomous vehicle functions, challenges persist in assessing their safety …
advancements in autonomous vehicle functions, challenges persist in assessing their safety …
Twin scenarios establishment for autonomous vehicle digital twin empowered sotif assessment
The scenario-based tests have been an important means of improving the safety and
reliability of autonomous vehicles (AVs). Moreover, ensuring the fidelity of generated …
reliability of autonomous vehicles (AVs). Moreover, ensuring the fidelity of generated …
Cautious planning with incremental symbolic perception: Designing verified reactive driving maneuvers
This work presents a step towards utilizing incrementally-improving symbolic perception
knowledge of the robot's surroundings for provably correct reactive control synthesis applied …
knowledge of the robot's surroundings for provably correct reactive control synthesis applied …
STPA-driven multilevel runtime monitoring for In-time hazard detection
S Gautham, G Bakirtzis, A Will, AV Jayakumar… - … on Computer Safety …, 2022 - Springer
Runtime verification or runtime monitoring equips safety-critical cyber-physical systems to
augment design assurance measures and ensure operational safety and security. Cyber …
augment design assurance measures and ensure operational safety and security. Cyber …
A review and strategic approach for the transition towards third-wave trustworthy and explainable ai in connected, cooperative and automated mobility (CCAM)
Traditional" 2nd Wave (2WAI)" AI algorithms are highly specialized in narrowly-defined tasks
in the transportation and mobility domain, however, quite hardly explainable and unable to …
in the transportation and mobility domain, however, quite hardly explainable and unable to …
Motion Planning of Vehicle Obstacle Avoidance by Quantum Reinforcement Learning
R Zhang, S Liu, QS Jia, X Wang - 2023 China Automation …, 2023 - ieeexplore.ieee.org
With the development of artificial intelligence, autonomous driving technology is becoming a
promising solution for reducing the number of accidents caused by human factors of drivers …
promising solution for reducing the number of accidents caused by human factors of drivers …
[引用][C] Systematic Fault Injection Scenario Generation for the Safety Monitoring of the Autonomous Vehicle
MINU SHIN - 2023 - Ulsan National Institute of Science …