We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

A thoroughly revised third edition of this widely praised, bestselling textbook presents a
comprehensive systems-level perspective of electric and hybrid vehicles with emphasis on …

摘要作为实现汽车自动驾驶的关键基础设施, 自动驾驶地图能够提供大量准确且语义丰富的数据
来帮助用户以更精细的尺度了解周边环境状况, 辅助感知, 定位, 驾驶规划与决策控制 …

Maps are essential for testing autonomous driving functions. Several map and scenario
formats are available. However, they are usually not compatible with each other, limiting …

Reinforcement learning (RL) methods have gained popularity in the field of motion planning
for autonomous vehicles due to their success in robotics and computer games. However, no …

高精地图逐渐成为自动驾驶不可或缺的组成部分, 但是其数据模型和表达方式尚未形成统一标准
, 特别是在生产制作和数据交换阶段, 缺乏具备通用性和大规模应用能力的数据模型 …

To navigate autonomously, a vehicle must be able to localize itself with respect to its driving
environment and the vehicles with which it interacts. This study presents a decentralized …

Simulation-based tests are more cost-effective and less dangerous than field tests; hence,
they are becoming the norm for thoroughly testing self-driving cars in virtual environments …

This paper introduces our Cyber-Physical Mobility Lab (CPM Lab). It is an open-source
development environment for networked and autonomous vehicles with focus on networked …