Zobrazeno 1 - 10
of 1 379
pro vyhledávání: '"Wu, Junfeng"'
The allyl radical (C3H5) is a well-characterized hydrocarbon radical, renowned for its pivotal role as an intermediate species in high-energy environments. Its core excited states can elucidate intricate details pertaining to its electronic and struc
Externí odkaz:
http://arxiv.org/abs/2409.15032
Cooperative localization and target tracking are essential for multi-robot systems to implement high-level tasks. To this end, we propose a distributed invariant Kalman filter based on covariance intersection for effective multi-robot pose estimation
Externí odkaz:
http://arxiv.org/abs/2409.09410
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
Neural Radiance Fields (NeRF) have revolutionized 3D computer vision and graphics, facilitating novel view synthesis and influencing sectors like extended reality and e-commerce. However, NeRF's dependence on extensive data collection, including sens
Externí odkaz:
http://arxiv.org/abs/2409.01661
We present PartGLEE, a part-level foundation model for locating and identifying both objects and parts in images. Through a unified framework, PartGLEE accomplishes detection, segmentation, and grounding of instances at any granularity in the open wo
Externí odkaz:
http://arxiv.org/abs/2407.16696
Autor:
Zeng, Guangyang, Mu, Biqiang, Zeng, Qingcheng, Song, Yuchen, Dai, Chulin, Shi, Guodong, Wu, Junfeng
Camera pose estimation is a fundamental problem in robotics. This paper focuses on two issues of interest: First, point and line features have complementary advantages, and it is of great value to design a uniform algorithm that can fuse them effecti
Externí odkaz:
http://arxiv.org/abs/2407.16151
Autor:
Wang, Jiang, He, Yuanzheng, Su, Daobilige, Itoyama, Katsutoshi, Nakadai, Kazuhiro, Wu, Junfeng, Huang, Shoudong, Li, Youfu, Kong, He
Robot audition systems with multiple microphone arrays have many applications in practice. However, accurate calibration of multiple microphone arrays remains challenging because there are many unknown parameters to be identified, including the relat
Externí odkaz:
http://arxiv.org/abs/2405.19813
In this paper, we investigate the problem of estimating the 4-DOF (three-dimensional position and orientation) robot-robot relative frame transformation using odometers and distance measurements between robots. Firstly, we apply a two-step estimation
Externí odkaz:
http://arxiv.org/abs/2405.12577
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