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Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective by Wan, Lei; Zhao, Jianxin; Wiedholz, Andreas; Bied, Manuel; de Lucena, Mateus Martinez; Jagtap, Abhishek Dinkar; Festag, Andreas; Fröhlich, Antônio Augusto; Keen, Hannan Ejaz; Vinel, Alexey is a scholarly article available to read on EtoBox.

What is Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective about?

The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, current single-vehicle perception systems continue to encounter limitations, notably visual occlusions and limited long-range detection capabilities. Collaborative Perception (CP), enabled by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, has emerged as a promising solution to mitigate these issues and enhance the reliability of autonomous systems. Beyond advancements in communication, the computer vision community is increasingly focusing on improving vehicular perception through collaborative approaches. However, a systematic literature review that thoroughly examines existing work and reduces subjective bias is still lacking. Such a systematic approach helps identify research gaps, recognize common trends across studies, and inform future research directions. In response, this study follows the PRISMA 2020 guidelines and includes 106 peer-reviewed articles. These publications are analyzed based on modalities, collaboration schemes, and key perception tasks. Through a comparati

Author

Wan, Lei; Zhao, Jianxin; Wiedholz, Andreas; Bied, Manuel; de Lucena, Mateus Martinez; Jagtap, Abhishek Dinkar; Festag, Andreas; Fröhlich, Antônio Augusto; Keen, Hannan Ejaz; Vinel, Alexey

Published

2025

Language

EN