Safe Intersection Management With Cooperative Perception for Mixed Traffic of Human-Driven and Autonomous Vehicles
Author:
Affiliation:
1. National Institute of Informatics, Tokyo, Japan
2. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
Funder
JST
Precursory Research for Embryonic Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782711/9684258/09789256.pdf?arnumber=9789256
Reference51 articles.
1. AutoC2X: Open-source software to realize V2X cooperative perception among autonomous vehicles
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3. The potential of collective perception in vehicular ad-hoc networks
4. An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors
5. Towards provably safe mixed transportation systems with human-driven and automated vehicles
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