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IndoorBEV: A Lightweight Real-Time LiDAR BEV Perception System for Indoor Mobile Robots
Efficient indoor LiDAR perception is challenging because mobile robots must understand cluttered three-dimensional environments under strict latency and memory constraints. Existing point-based and voxel-based methods often incur substantial computational overhead, whereas conventional bird's-eye-vi
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