An adaptive network fusing light detection and ranging height-sliced bird’s-eye view and vision for place recognition
Place recognition, a fundamental component of robotic perception, aims to identify previously visited locations within an environment. In this study, we present a novel global descriptor that uses height-sliced Bird’s Eye View (BEV) from Light Detection and Ranging (LiDAR) and vision images, to faci...
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Main Authors: | , , , , , , |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9310 |
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Institution: | Singapore Management University |
Language: | English |