Dynamic Occupancy Grid Map with Semantic Information Using Deep Learning-Based BEVFusion Method with Camera and LiDAR Fusion

In the field of robotics and autonomous driving, dynamic occupancy grid maps (DOGMs) are typically used to represent the position and velocity information of objects. Although three-dimensional light detection and ranging (LiDAR) sensor-based DOGMs have been actively researched, they have limitation...

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Κύριοι συγγραφείς:	Harin Jang, Taehyun Kim, Kyungjae Ahn, Soo Jeon, Yeonsik Kang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-04-01
Σειρά:	Sensors
Θέματα:	occupancy grid map sensor fusion autonomous vehicles semantic grid map particle filters
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/24/9/2828
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