no code implementations • 26 Dec 2023 • Sudip Dhakal, Dominic Carrillo, Deyuan Qu, Michael Nutt, Qing Yang, Song Fu
In recent times, there has been a notable surge in multimodal approaches that decorates raw LiDAR point clouds with camera-derived features to improve object detection performance.
1 code implementation • 8 Dec 2023 • Deyuan Qu, Qi Chen, Tianyu Bai, Andy Qin, HongSheng Lu, Heng Fan, Song Fu, Qing Yang
Cooperative perception for connected and automated vehicles is traditionally achieved through the fusion of feature maps from two or more vehicles.
1 code implementation • 16 Nov 2021 • Haili Wang, Jingda Guo, Xu Ma, Song Fu, Qing Yang, Yunzhong Xu
As a distinct advantage of our framework, cloud system administrators only need to check a small number of detected anomalies, and their decisions are leveraged to update the detector.
no code implementations • 3 Dec 2020 • Youcheng Xi, Jie Ren, Liang Wang, Song Fu
We establish an adjoint-based bi-orthogonal eigenfunction system to address the receptivity problem of such flows to any external forces and boundary perturbations.
Fluid Dynamics
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.
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.
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.
Ranked #3 on 3D Object Detection on OPV2V