Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities

TL;DR

This paper discusses the development and deployment of infrastructure-vehicle cooperative autonomous driving, highlighting its safety, economic benefits, and the challenges faced in progressing through a three-stage deployment roadmap.

Contribution

It introduces real-world deployment experiences and outlines a three-stage development roadmap for infrastructure-vehicle cooperative autonomous driving.

Findings

Successful real-world deployment of cooperative autonomous driving

Identification of key challenges in each development stage

Progress towards commercial implementation

Abstract

The infrastructure-vehicle cooperative autonomous driving approach depends on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer but also more economical compared to the traditional on-vehicle-only autonomous driving approach. In this paper, we introduce our real-world deployment experiences of cooperative autonomous driving, and delve into the details of new challenges and opportunities. Specifically, based on our progress towards commercial deployment, we follow a three-stage development roadmap of the cooperative autonomous driving approach:infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD).