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Found 3 papers, 1 papers with code
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
Diffusion models have recently gained prominence as powerful deep generative models, demonstrating unmatched performance across various domains.
JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments
JRDB-PanoTrack includes (1) various data involving indoor and outdoor crowded scenes, as well as comprehensive 2D and 3D synchronized data modalities; (2) high-quality 2D spatial panoptic segmentation and temporal tracking annotations, with additional 3D label projections for further spatial understanding; (3) diverse object classes for closed- and open-world recognition benchmarks, with OSPA-based metrics for evaluation.
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications.
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