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

Xinwen Zhu, Zihao Li, Yuxuan Jiang, Jiazhen Xu, Jie Wang, Xuyang Bai

TL;DR

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 hardware platform.

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.

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

TL;DR

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 hardware platform.

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.

Paper Structure

This paper contains 26 sections, 2 equations, 11 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. Vehicular Wireless communication
  4. Distributed Databases in Cooperative Communication System
  5. Multi-modal Perception in Autonomous Vehicles
  6. Real-time Hardware Platform in Vehicular Technology
  7. System Design: Overview
  8. Subsystem Decomposition
  9. Hardware and Software Stacks
  10. System Details
  11. Control subsystem
  12. Multimodal Sensing subsystem
  13. Primary Components
  14. Communication subsystem
  15. Collision Avoidance algorithm
  16. ...and 11 more sections

Figures (11)

  • Figure 1: Our vision: an advanced V2V communication system in an urban setting, with scheduling algorithms, self-driving, and real-time wireless vehicle interactions dalle2024v2v.
  • Figure 2: Overview of our Design.
  • Figure 3: Qcar Diagram and Software Stack
  • Figure 4: Blind spots of camera
  • Figure 5: RPLIDAR Demonstration
  • ...and 6 more figures