Challenges related to automated driving are no longer focused on just the construction of
such automated vehicles (AVs) but also on assuring the safety of operation. Recent …

Extreme operating conditions refer to the critical dynamic state during vehicle operation. The
lack of experimental data under critical conditions is one of the fundamental problems in the …

Recent years have witnessed the growing popularity of connectionist temporal classification
(CTC) and attention mechanism in scene text recognition (STR). CTC-based methods …

This article studies the class of scenario-based safety testing algorithms in the black-box
safety testing configuration. For algorithms sharing the same state–action set coverage with …

This paper designs observer gains to optimize the minimal robust positively invariant set and
uses this set for robust fault detection. First, the sizes of the minimal robust positively …

In the simulation-based testing and evaluation of autonomous vehicles (AVs), how
background vehicles (BVs) drive directly influences the AV's driving behavior and further …

Current safety of the intended functionality (SOTIF) studies are focused on perception
limitations, decision uncertainties, and human-machine interaction, while it tends to overlook …

A connected and automated vehicle safety metric determines the performance of a subject
vehicle (SV) by analyzing the data involving the interactions among the SV and other …

Scenario-based testing is envisioned as a key approach for the safety assurance of
autonomous vehicles. In scenario-based testing, relevant (driving) scenarios are the basis of …

为解决小概率高风险边缘测试场景的问题, 本文提出一种基于场景动力学和强化学习的边缘场景
生成方法, 实现边缘场景的自动生成, 能模拟真实世界中车辆间的对抗与博弈行为的特征 …