Collaborative Perception for Autonomous Driving: Current Status and Future Trend

TL;DR

This paper reviews the current state and future trends of collaborative perception in autonomous driving, emphasizing how vehicle communication enhances environmental awareness beyond individual capabilities.

Contribution

It provides a comprehensive overview of collaborative perception concepts, modes, key components, applications, and discusses open challenges and future research directions.

Findings

Collaborative perception improves perception range beyond line-of-sight.

Various collaboration modes enable different sharing strategies.

Open challenges include communication latency and data fusion issues.

Abstract

Perception is one of the crucial module of the autonomous driving system, which has made great progress recently. However, limited ability of individual vehicles results in the bottleneck of improvement of the perception performance. To break through the limits of individual perception, collaborative perception has been proposed which enables vehicles to share information to perceive the environments beyond line-of-sight and field-of-view. In this paper, we provide a review of the related work about the promising collaborative perception technology, including introducing the fundamental concepts, generalizing the collaboration modes and summarizing the key ingredients and applications of collaborative perception. Finally, we discuss the open challenges and issues of this research area and give some potential further directions.