There are many challenging tasks when developing autonomous driving features to cope with the various changes to the environment. Often lane markings are faded or are covered with snow or dirt and can be difficult for a camera-based detection system. In this report, VSI addresses the application of HD map assets to improve the safety and performance of automated vehicle features within the context of lane keeping and trajectories.
VSI has been examining applications of HD maps in our test vehicle. In a previous report, we discussed map-based Adaptive Cruise Control (ACC) using the advised speed attributes from HERE’s HD map data. In this report, we apply HERE’s HD map data to a lane keeping application and examine performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach.