1 code implementation • 23 May 2023 • Xuecheng Xu, Yanmei Jiao, Sha Lu, Xiaqing Ding, Rong Xiong, Yue Wang
In addition, the image and point cloud cues can be easily stated in the same coordinates, which benefits sensor fusion for place recognition.
no code implementations • 17 Mar 2023 • Bingqi Shen, Shuwei Dai, Yuyin Chen, Rong Xiong, Yue Wang, Yanmei Jiao
In this paper, we propose GOOD, a general optimization-based fusion framework that can achieve satisfying detection without training additional models and is available for any combinations of 2D and 3D detectors to improve the accuracy and robustness of 3D detection.
no code implementations • 2 Mar 2022 • Xiaqing Ding, Xuecheng Xu, Sha Lu, Yanmei Jiao, Mengwen Tan, Rong Xiong, Huanjun Deng, Mingyang Li, Yue Wang
Global point cloud registration is an essential module for localization, of which the main difficulty exists in estimating the rotation globally without initial value.
no code implementations • 24 Oct 2020 • Xiaqing Ding, Yue Wang, Li Tang, Yanmei Jiao, Rong Xiong
Through experiments on real world RGBD datasets we validate the effectiveness of our design in terms of improving both generalization performance and robustness towards viewpoint change, and also show the potential of regression based visual localization networks towards challenging occasions that are difficult for geometry based visual localization methods.