Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

Recently, Vehicle-to-Everything (V2X) cooperative perception has attracted increasing
attention. Infrastructure sensors play a critical role in this research field; however, how to find …

In the field of autonomous vehicles, various heterogeneous sensors, such as LiDAR, Radar,
camera, etc, are combined to improve the vehicle ability of sensing accuracy and …

In recent years, intensive research has been conducted to enable people to live more
comfortably. Developments in the Internet of Things (IoT), big data, and artificial intelligence …

Robust and accurate localization is a basic requirement for mobile autonomous systems.
Pole-like objects, such as traffic signs, poles, and lamps are frequently used landmarks for …

Predicting the future can significantly improve the safety of intelligent vehicles, which is a key
component in autonomous driving. 3D point clouds can accurately model 3D information of …

Multi-agent cooperative perception is an increasingly popular topic in the field of
autonomous driving, where roadside LiDARs play an essential role. However, how to …

This paper develops an extremely robust solution for absolute pose estimation with known
prior gravity direction by motion decoupling. Absolute pose estimation is a fundamental …

Significant efforts have been made for vehicle-to-vehicle communications that now enable
the Internet of Vehicles (IoV). However, current IoV solutions are unable to capture traffic …

In most urban and suburban areas, pole-like structures such as tree trunks or utility poles are
ubiquitous. These structural landmarks are very useful for the localization of autonomous …