Building an Autonomous Driving System based on Object Detection

Deep learning based 3d object detection based autonomous driving scenario. The Multiview 3D network(MV 3D) aims in taking RBG real world images as input and predict 3D oriented bounding box.The network contains 2 subnetworks The MV 3D network usually present the object detection in bird's eye view representation. The network would design a deep fusion schema to combine region wise feature from multiple view and enable interaction between intermediate layers of different path. The modern cars would feed with LIDAR sensor that play a important role in visual perception system for autonomous driving car. The camera would preserve the accurate depth information for detail semantic information.