Search Results for author: Chaokang Jiang

Found 4 papers, 0 papers with code

3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion

no code implementations27 Sep 2022 Chaokang Jiang, Guangming Wang, Yanzi Miao, Hesheng Wang

The proposed method of self-supervised learning of 3D scene flow on real-world images is compared with a variety of methods for learning on the synthesized dataset and learning on LiDAR point clouds.

Optical Flow Estimation Scene Flow Estimation +1

FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection

no code implementations15 Sep 2022 Chaokang Jiang, Guangming Wang, Jinxing Wu, Yanzi Miao, Hesheng Wang

Promising complementarity exists between the texture features of color images and the geometric information of LiDAR point clouds.

3D Object Detection object-detection

Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance

no code implementations11 Sep 2022 Guangming Wang, Zhiheng Feng, Chaokang Jiang, Hesheng Wang

Unlike the previous unsupervised learning of scene flow in point clouds, we propose to use odometry information to assist the unsupervised learning of scene flow and use real-world LiDAR data to train our network.

Activity Recognition Autonomous Driving +1

Pseudo-LiDAR for Visual Odometry

no code implementations4 Sep 2022 Huiying Deng, Guangming Wang, Zhiheng Feng, Chaokang Jiang, Xinrui Wu, Yanzi Miao, Hesheng Wang

In order to make full use of the rich point cloud information provided by the pseudo-LiDAR, a projection-aware dense odometry pipeline is adopted.

Stereo Matching Visual Odometry

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