随着汽车产业电动化, 智能化, 网联化, 共享化的发展驱动, 全球主要强国均将智能网联汽车列为
国家战略发展方向. 蜂窝车联网, 边缘计算网络和高精度定位系统的技术发展, 为车车, 车路 …

For an autonomous vehicle to operate safely and effectively, an accurate and robust
localization system is essential. While there are a variety of vehicle localization techniques …

The idea of cooperation has been introduced to self-driving cars about a decade ago with
the aim to reduce the occlusion caused by other users or the scene. More recently, the …

This article presents a challenging multi-agent seasonal dataset collected by a fleet of Ford
autonomous vehicles (AVs) at different days and times during 2017–2018. The vehicles …

Place recognition is a challenging problem in mobile robotics, especially in unstructured
environments or under viewpoint and illumination changes. Most LiDAR-based methods rely …

Vision-based techniques for intelligent vehicles in heterogeneous road environments are
gaining significant attention from researchers and industrialists. Unfortunately, the …

Vehicle localization and mobility tracking are important tasks in autonomous driving.
Traditional methods either have insufficient accuracy or rely on additional facilities to reach …

Achieving full autonomy in navigation is a complicated problem. The most widely used
solution takes up the modular framework for sensing and information processing such as …

Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …

Accurate vehicle localization is important for autonomous driving and advanced driver
assistance systems. Existing precise localization systems based on the global navigation …