Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Virtualized traffic via various simulation models and real‐world traffic data are promising
approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the …

Autonomous driving in an unregulated urban crowd is an outstanding challenge, especially,
in the presence of many aggressive, high-speed traffic participants. This paper presents …

We perform a systematic literature review on testing, validation, and verification of robotic
and autonomous systems (RAS). The scope of this review covers peer-reviewed research …

In recent years, great efforts have been devoted to deep imitation learning for autonomous
driving control, where raw sensory inputs are directly mapped to control actions. However …

自动驾驶汽车虚拟测试已成为自动驾驶或车路协同测试评价的一个重要手段,
三维激光雷达数据模拟生成是自动驾驶汽车虚拟测试中的重要任务之一, 目前多采用基于飞行 …

Scenario-based testing is already a well-known test approach to the automotive industry for
the Validation, Verification and Testing of Connected and Automated Vehicles. How to …

We present a simplified force‐based heterogeneous traffic simulation model to facilitate
consistent adjustment of the parameters involved. Different from previous work which …

Realistic crowd simulation has been pursued for decades, but it still necessitates tedious
human labour and a lot of trial and error. The majority of currently used crowd modelling is …

While there was great progress regarding the technology and its implementation for vehicles
equipped with automated driving systems (ADS), the problem of how to proof their safety as …