To realize driver assistance systems based on automated driving technologies, intelligent vehicles need to recognize surrounding driving environments. On this point, sensing technologies with high-cost sensors have several problems for future popularization. Therefore, this research aimed at developing automated driving technologies with lean sensors via the enhancement of existing ADAS Horizon. As a result of experiments for confirming the feasibility of our system, we completed autonomous driving on a test course with several temporary stops and left turns.
To realize a digital map for automated driving on non-highway roads, where plans for preparing highprecision 3D maps in the near future have not been determined, we propose "LeanMAP", the contents of which are composed of map data from car navigation systems. In addition, to improve the precision of the LeanMAP contents, we propose a modification system based on actual driving data. Through the results of pilot trials on data modification in left turns at an intersection and gentle curves at a non-intersection part of a public road, we confirm the feasibility of our proposed system in that it correctly modifies the contents of LeanMAP.
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