Automated Driving Systems (ADSs) have seen rapid progress in recent years. To ensure the
safety and reliability of these systems, extensive testings are being conducted before their …

摘要随着人工智能, 互联网技术, 通信技术, 计算机技术的快速发展, 以电动化,
智能化及网联化为基础的智能汽车成为汽车行业发展的一大趋势. 按照汽车智能化 …

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 …

The growth in technology on autonomous transportation systems is currently motivating a
number of research initiatives. This paper first presents a survey of the literature on …

Long-tail and rare event problems become crucial when autonomous driving algorithms are
applied in the real world. For the purpose of evaluating systems in challenging settings, we …

Scenario-based approaches have been receiving a huge amount of attention in research
and engineering of automated driving systems. Due to the complexity and uncertainty of the …

For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with
human-driven vehicles. Their planning and control systems need extensive testing …

Testing scenario library generation (TSLG) is a critical step for the development and
deployment of connected and automated vehicles (CAVs). In Part I of this study, a general …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

This paper aims to contribute to the comprehensive and systematic safety assessment of
Automated Driving Systems (ADSs) by identifying unknown hazardous areas of operation …