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 …

Intelligent vehicle testing has been a hotspot in the field of intelligent vehicles. Due to the
multi-dimensional parameters and the continuity of testing scenarios, a complete test of all …

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 …

Autonomous driving has attracted considerable attention from research and industry
communities. Although prototypes of automated vehicles (AVs) are developed, remaining …

The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …

Highly automated vehicles (HAVs) have been introduced to the transportation system for the
purpose of providing safer mobility. Considering the expected long co-existence period of …

Sampling, generation, and evaluation of scenarios are essential steps for intelligent testing
of autonomous vehicles. Since uncertainty in driving behavior always leads to different …

Collision avoidance algorithms play a crucial role in assisting onboard officers and ensuring
navigation safety. To ensure the effectiveness of these algorithms, comprehensive testing …

Despite the technological advances in automated driving systems, traffic accidents involving
automated vehicles (AVs) continue to occur, raising concerns over the safety and reliability …

Autonomous vehicles (AVs) must be thoroughly tested to ensure safety and reliability before
marketing. Simulation‐based testing has gained widespread recognition as the essential …