Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus

no code implementations • 3 Sep 2019 • Lingtao Zhou, Jiaojiao Fang, Guizhong Liu

Unsupervised learning based depth estimation methods have received more and more attention as they do not need vast quantities of densely labeled data for training which are touch to acquire.

Autonomous Driving Depth And Camera Motion +1

3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results

no code implementations • 1 Sep 2019 • Jiaojiao Fang, Lingtao Zhou, Guizhong Liu

In this paper, we propose a novel two stage 3D object detection method aimed at get the optimal solution of object location in 3D space based on regressing two additional 3D object properties by a deep convolutional neural network and combined with cascaded geometric constraints between the 2D and 3D boxes.

3D Object Detection Autonomous Vehicles +2