Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads

TL;DR

This paper presents a real-time V2V communication system with distributed databases and multimodal perception, demonstrated on hardware at a crossroads to improve traffic safety and efficiency in autonomous driving.

Contribution

It introduces a novel cooperative control system integrating distributed databases and multimodal perception, demonstrated in real-world urban scenarios.

Findings

Effective real-time vehicle communication demonstrated at crossroads

Enhanced collision avoidance capabilities shown in physical environment

Potential for improved urban traffic management

Abstract

The autonomous driving industry is rapidly advancing, with Vehicle-to-Vehicle (V2V) communication systems highlighting as a key component of enhanced road safety and traffic efficiency. This paper introduces a novel Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System (VVCCS), designed to revolutionize macro-scope traffic planning and collision avoidance in autonomous driving. Implemented on Quanser Car (Qcar) hardware platform, our system integrates the distributed databases into individual autonomous vehicles and an optional central server. We also developed a comprehensive multi-modal perception system with multi-objective tracking and radar sensing. Through a demonstration within a physical crossroad environment, our system showcases its potential to be applied in congested and complex urban environments.