A cloud-assisted design for autonomous driving

作者：Swarun Kumar, Shyamnath Gollakota, Dina Katabi · 年份：2012 · DOI：10.1145/2342509.2342519 · 被引用次数：90 · 研究领域：Robotic Path Planning Algorithms、Autonomous Vehicle Technology and Safety、Robotics and Automated Systems

This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous vehicles that use this system to avoid obstacles such as pedestrians and other vehicles that may not be directly detected by sensors on the vehicle. Further, Carcel enables vehicles to plan efficient paths that account for unexpected events such as road-work or accidents.