CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles

no code implementations • 24 Sep 2020 • Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla

To reduce the amount of transmitted data, feature map based fusion is recently proposed as a practical solution to cooperative 3D object detection by autonomous vehicles.

3D Object Detection Autonomous Vehicles +2

DCANet: Learning Connected Attentions for Convolutional Neural Networks

no code implementations • 9 Jul 2020 • Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu

With DCANet, all attention blocks in a CNN model are trained jointly, which improves the ability of attention learning.

Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds

1 code implementation • 13 May 2019 • Qi Chen, Sihai Tang, Qing Yang, Song Fu

A point cloud based 3D object detection method is proposed to work on a diversity of aligned point clouds.

3D Object Detection Autonomous Vehicles +1