AI RESEARCH
PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
arXiv CS.CV
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ArXi:2606.01757v1 Announce Type: new Real-time 3D object detection is a critical component for the safe operation of autonomous driving systems and robotics. While LiDAR point clouds provide accurate spatial information, processing them efficiently remains a significant challenge. Traditional methods rely on complex 3D convolutions or anchor-based paradigms that struggle to balance detection accuracy with inference speed.