Zobrazeno 1 - 10
of 167
pro vyhledávání: '"LI, Xinghan"'
This paper presents a novel approach to distributed pose estimation in the multi-agent system based on an invariant Kalman filter with covariance intersection. Our method models uncertainties using Lie algebra and applies object-level observations wi
Externí odkaz:
http://arxiv.org/abs/2409.07933
Autor:
Zeng, Guangyang, Zeng, Qingcheng, Li, Xinghan, Mu, Biqiang, Chen, Jiming, Shi, Ling, Wu, Junfeng
Given 2D point correspondences between an image pair, inferring the camera motion is a fundamental issue in the computer vision community. The existing works generally set out from the epipolar constraint and estimate the essential matrix, which is n
Externí odkaz:
http://arxiv.org/abs/2403.01174
Autor:
Li, Xinghan, Li, Haoying, Zeng, Guangyang, Zeng, Qingcheng, Ren, Xiaoqiang, Yang, Chao, Wu, Junfeng
A filter for inertial-based odometry is a recursive method used to estimate the pose from measurements of ego-motion and relative pose. Currently, there is no known filter that guarantees the computation of a globally optimal solution for the non-lin
Externí odkaz:
http://arxiv.org/abs/2402.05003
Errors dynamics captures the evolution of the state errors between two distinct trajectories, that are governed by the same system rule but initiated or perturbed differently. In particular, state observer error dynamics analysis in matrix Lie group
Externí odkaz:
http://arxiv.org/abs/2307.16597
Autor:
Jiang, Haodong, Wang, Wentao, Shen, Yuan, Li, Xinghan, Ren, Xiaoqiang, Mu, Biqiang, Wu, Junfeng
State estimation is an essential part of autonomous systems. Integrating the Ultra-Wideband(UWB) technique has been shown to correct the long-term estimation drift and bypass the complexity of loop closure detection. However, few works on robotics ad
Externí odkaz:
http://arxiv.org/abs/2209.06779
Pose estimation is important for robotic perception, path planning, etc. Robot poses can be modeled on matrix Lie groups and are usually estimated via filter-based methods. In this paper, we establish the closed-form formula for the error propagation
Externí odkaz:
http://arxiv.org/abs/2206.09100
Publikováno v:
In Ecological Modelling November 2023 485
Autor:
Wang, Jing, Xue, Lianqing, Liu, Hailong, Cao, Biao, Bai, Yungang, Xiang, Chenguang, Li, Xinghan
Publikováno v:
In Environmental Research 1 November 2023 236 Part 2
Autor:
Gao, Xiaofeng, Yang, Zeen, Huang, Lingte, Zuo, Siying, Li, Xinghan, Li, Jia, Jiang, Wen, Wang, Shuang, Zhang, Yongjun
Publikováno v:
In International Journal of Biological Macromolecules 30 June 2023 241
Autor:
Huang, Lingte, Zuo, Siying, Gao, Xiaofeng, Li, Zengqi, Wang, Shang, Chen, Baiqi, Li, Xinghan, Zhu, Liyun, Zhang, Yongjun
Publikováno v:
In Sustainable Chemistry and Pharmacy June 2023 33