IoT-enabled Intelligent Traffic Management Systems for Autonomous Vehicle Integration
Keywords:
LiDARAbstract
These high definition maps provide accurate information for objects, lanes, road markers, etc. on the road. High definition maps are generated using the most advanced and precise light detection and ranging (LiDAR) sensor techniques, whose data generation process is very time consuming and expensive. This situation prevents self-driving vehicles from driving in large areas, impeding commercial deployment of these vehicles for the large public at the same time. This paper presents our work combining intelligent connected vehicle technology using our intelligent traffic management system for assisting self-driving cars to safely drive on roadways, without requiring detailed information regarding the roadways over which they are driving. Our system is designed to be compatible with existing standards to allow cars to communicate with the rest of the traffic infrastructure.
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References
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