Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
This work addresses the problem of enhancing safety and efficiency in autonomous driving for transportation systems, but it appears incremental as it builds on existing cooperative concepts without presenting new breakthroughs.
The paper tackles the challenge of achieving fully intelligent transportation by proposing an infrastructure-vehicle cooperative autonomous driving approach, which is described as safer and more economical than traditional on-vehicle-only methods, based on real-world deployment experiences and a three-stage development roadmap.
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).