Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing
IEEE Transactions on Intelligent Transportation Systems(2022)
摘要
By providing rich context of lane information on roads, lane-level maps play a vital role in intelligent transportation systems. Since Global Positioning Systems (GPS) have been widely applied to vehicles, vehicle-based crowdsourcing offers an economical way to the lane-level map building by collecting and analyzing the GPS trajectories of vehicles. However, existing works cannot directly extract ...
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关键词
Trajectory,Global Positioning System,Roads,Crowdsourcing,Task analysis,Data mining,Laser radar
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