Multimodal Panoptic Segmentation of 3D Point Clouds

• Tác giả: Fabian Dürr
• Ngôn ngữ: eng
• ISBN: KSP/1000161158
• Thông tin xuất bản: KIT Scientific Publishing 2023
• Mô tả vật lý: 1 electronic resource (248 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 375408
• Chủ đề: 1. Temporal Fusion; 2. Sensor Fusion; 3. Semantic Segmentation; 4. Panoptic Segmentation; 5. Zeitliche Fusion; 6. Semantische Segmentierung; 7. Panoptische Segmentierung; 8. Sensorfusion; 9. Deep Learning; 10. Maths for computer scientists

Tóm tắt

The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.