Zobrazeno 1 - 10
of 54
pro vyhledávání: '"HU Yinlin"'
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 249-254 (2024)
Objective Saturated loess slump may lead to underground cavity. When the underground tunnel passes through the fortified fissures section of the self-weighty saturated slump loess site, the encountered underground cavity may likely bring about mud in
Externí odkaz:
https://doaj.org/article/3c73700f56db48c6b20b48163abd8d8a
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 240-246 (2024)
Objective Xi’an Metro Line 6 Phase Ⅱ project encounters seven ground fissures along one of its tunnels, the poor engineering properties may cause partial tunnel collapse and uneven settlement at the base, exacerbating ground fissure activities an
Externí odkaz:
https://doaj.org/article/15454957ec7849839cc8925829078237
We propose an approach for reconstructing free-moving object from a monocular RGB video. Most existing methods either assume scene prior, hand pose prior, object category pose prior, or rely on local optimization with multiple sequence segments. We p
Externí odkaz:
http://arxiv.org/abs/2405.05858
Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range. In this paper, we propose a 6D object pose estimatio
Externí odkaz:
http://arxiv.org/abs/2308.10016
Most recent 6D object pose methods use 2D optical flow to refine their results. However, the general optical flow methods typically do not consider the target's 3D shape information during matching, making them less effective in 6D object pose estima
Externí odkaz:
http://arxiv.org/abs/2306.13266
The practicality of 3D object pose estimation remains limited for many applications due to the need for prior knowledge of a 3D model and a training period for new objects. To address this limitation, we propose an approach that takes a single image
Externí odkaz:
http://arxiv.org/abs/2303.13612
Most recent 6D object pose estimation methods first use object detection to obtain 2D bounding boxes before actually regressing the pose. However, the general object detection methods they use are ill-suited to handle cluttered scenes, thus producing
Externí odkaz:
http://arxiv.org/abs/2303.12396
Most modern image-based 6D object pose estimation methods learn to predict 2D-3D correspondences, from which the pose can be obtained using a PnP solver. Because of the non-differentiable nature of common PnP solvers, these methods are supervised via
Externí odkaz:
http://arxiv.org/abs/2303.11516
Edge applications, such as collaborative robotics and spacecraft rendezvous, demand efficient 6D object pose estimation on resource-constrained embedded platforms. Existing 6D pose estimation networks are often too large for such deployments, necessi
Externí odkaz:
http://arxiv.org/abs/2303.06753
Object location prior is critical for the standard 6D object pose estimation setting. The prior can be used to initialize the 3D object translation and facilitate 3D object rotation estimation. Unfortunately, the object detectors that are used for th
Externí odkaz:
http://arxiv.org/abs/2211.16290