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Found 3 papers, 3 papers with code
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection
In this work, we devise a simple yet effective collaboration method that achieves a better bandwidth-performance tradeoff than prior state-of-the-art methods while minimizing changes made to the single-vehicle detection models and relaxing unrealistic assumptions on inter-agent synchronization.
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow
Such concatenation is possible thanks to the removal of ego vehicle motion using its odometry.
Attention-based Proposals Refinement for 3D Object Detection
This paper proposes a data-driven approach to ROI feature computing named APRO3D-Net which consists of a voxel-based RPN and a refinement stage made of Vector Attention.
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