In recent years, autonomous driving technology has made good progress, but the
noncooperative intelligence of vehicle for autonomous driving still has many technical …

The integration of machine learning and inter-vehicle communications enables various
active safety measures in internet-of-vehicles. Specifically, the environmental perception is …

Infrastructure-assisted autonomous driving is an emerging paradigm that aims to make
affordable autonomous vehicles a reality. A key technology for realizing this vision is real …

Occlusion is a critical problem in the Autonomous Driving System. Solving this problem
requires robust collaboration among autonomous vehicles traveling on the same roads …

In this paper a method for detecting and estimating the distance of a vehicle driving in front
using a single black-box camera installed in a vehicle was proposed. In order to apply the …

The Internet of Vehicles and information security are key components of a smart city. Real‐
time road perception is one of the most difficult tasks. Traditional detection methods require …

A pre-crash detection and warning system in a host vehicle needs to accurately determine
the position of each remote vehicle in its vicinity and the context of the driving environment …

Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …

Vehicle detection is one of the most important environment perception tasks for autonomous
vehicles. The traditional vision‐based vehicle detection methods are not accurate enough …

The complex traffic conditions and high traffic flow are big challenges to the perception of
autonomous vehicles. As the basis of environmental perception technology, object detection …