12 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
Jingda Guo, Dominic Carrillo, Sihai Tang +6
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. The preci…
DCANet: Learning Connected Attentions for Convolutional Neural Networks
Xu Ma, Jingda Guo, Sihai Tang +4
While self-attention mechanism has shown promising results for many vision tasks, it only considers the current features at a time. We show that such a manner cannot take full adva…
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds
Qi Chen
Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of surrounding environments, however, with the current state of technology, the data which a ve…
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds
Qi Chen, Sihai Tang, Qing Yang +1
Autonomous vehicles may make wrong decisions due to inaccurate detection and recognition. Therefore, an intelligent vehicle can combine its own data with that of other vehicles to…