Stereo R-CNN based 3D Object Detection for Autonomous Driving

CVPR 2019 Peiliang LiXiaozhi ChenShaojie Shen

We propose a 3D object detection method for autonomous driving by fully exploiting the sparse and dense, semantic and geometry information in stereo imagery. Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect and associate object in left and right images... (read more)

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