Deep probabilistic accelerated evaluation: A robust certifiable rare-event simulation methodology for black-box safety-critical systems

M Arief, Z Huang, GKS Kumar, Y Bai… - International …, 2021 - proceedings.mlr.press
Evaluating the reliability of intelligent physical systems against rare safety-critical events
poses a huge testing burden for real-world applications. Simulation provides a useful …

Speed trajectory planning at signalized intersections using sequential convex optimization

X Huang, H Peng - 2017 American Control Conference (ACC), 2017 - ieeexplore.ieee.org
An algorithm is developed to optimize vehicle speed trajectory over multiple signalized
intersections with known traffic signal information to minimize fuel consumption and travel …

Ship encounter scenario generation for collision avoidance algorithm testing based on AIS data

W Wang, L Huang, K Liu, Y Zhou, Z Yuan, X Xin… - Ocean Engineering, 2024 - Elsevier
Collision avoidance algorithms play a crucial role in assisting onboard officers and ensuring
navigation safety. To ensure the effectiveness of these algorithms, comprehensive testing …

Multi-objective tradeoff optimization of predictive adaptive cruising control for autonomous electric buses: A cyber-physical-energy system approach

M Shi, H He, J Li, M Han, C Jia - Applied Energy, 2021 - Elsevier
Abstract Recently, Cyber-Physical System (CPS) has served as a cutting-edge technology
for next-generation industrial applications, and is developing rapidly and inspires many …

Collision avoidance testing for autonomous driving systems on complete maps

Y Tang, Y Zhou, Y Liu, J Sun… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Collision avoidance is one of the crucial functions of autonomous driving systems (ADSs) to
guarantee the safety of autonomous vehicles (AVs). It requires extensive testing before an …

[HTML][HTML] 自动驾驶测试场景研究进展

王润民, 朱宇, 赵祥模, 徐志刚, 周文帅… - 交通运输工程 …, 2021 - transport.chd.edu.cn
阐述了目前形成的自动驾驶测试场景的5 种定义, 并在梳理测试场景, 基元场景,
场景要素之间逻辑关系的基础上提出了自动驾驶测试场景及有关概念的定义; …

Generation of naturalistic and adversarial sailing environment (NASE) for intelligent test of autonomous ships

J Shi, S Wang, Q Yuan, X Liu, TH Hsieh - Ocean Engineering, 2023 - Elsevier
Intelligence testing and verification of autonomous sailing capability is crucial to the
development and deployment of autonomous ships. The prevailing approach is to establish …

Adaptive design of experiments for fault injection testing of highly automated vehicles

Q Chen, H Zhang, H Zhou, J Sun… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Highly automated vehicles (HAVs) are exposed to various kinds of internal or external data
faults, which may lead to disengagements and collisions. Detecting critical faults and …

Safety of the intended driving behavior using rulebooks

A Collin, A Bilka, S Pendleton… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) are complex systems that drive in uncertain environments and
potentially navigate unforeseeable situations. Safety of these systems requires not only an …

Systematic testing of autonomous driving systems using map topology-based scenario classification

Y Tang, Y Zhou, T Zhang, F Wu, Y Liu… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Autonomous Driving Systems (ADSs), which replace humans to drive vehicles, are complex
software systems deployed in autonomous vehicles (AVs). Since the execution of ADSs …