Results 51 to 60 of about 9,523 (214)

Automatic extraction method for open-pit mine bench lines based on a dual-RANSAC optimized shape detection algorithm

Meitan kexue jishu
Aiming at the problems existing in current bench line extraction methods based on open-pit mine point cloud data, such as single judgment basis, poor spatial adaptability, high false detection rate, and low levels of automation and extraction efficiency,
Jingchang ZHAO, Lei GAO, Guangwei LIU, Shihao REN, Runcai BAI   +4 more
doaj   +1 more source

Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm

International Journal of Environment and Geoinformatics, 2020
Solar energy is a renewable energy source directly from sunlight and its production depends on roof characteristics such as roof type and size. In solar potential analysis, the main purpose is to determine the suitable roofs for the placement of solar ...
Fulya Gonultas, Muhammed Enes Atik, Zaide Duran   +2 more
doaj   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

RANSAC-Scaled Depth: A Dual-Teacher Framework for Metric Depth Annotation in Data-Scarce Scenarios

Компьютерная оптика
This paper addresses the problem of training metric monocular depth estimation models for specialized domains in the absence of labeled real-world data.
M.V. Lazukov, A.V. Shoshin, P.V. Belyaev, E.A. Shvets   +3 more
doaj   +1 more source

A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Open Woodland and Sub‐Alpine Woodland Ecosystems

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede, Karin Reinke, Trung H. Nguyen, Simon Jones   +3 more
wiley   +1 more source

RANSAC ART Tomography

GraphiCon'2019 Proceedings. Volume 2, 2019
This paper describes using of per-voxel RANSAC approach in ART tomography. The method works as an addition to any ART and does not depend on its internal details. Firstly, the histograms of voxel map corrections are constructed in each voxel during usual pass of ART. Then, they are used to refine the absorption map. It allows to improve resulting voxel
Alexey Voloboy, Vladimir Afanasyev
openaire   +1 more source

BetaSAC: A New Conditional Sampling For RANSAC [PDF]

Procedings of the British Machine Vision Conference 2010, 2010
We present a new strategy for RANSAC sampling named BetaSAC, in reference to the beta distribution. Our proposed sampler builds a hypothesis set incrementally, select- ing data points conditional on the previous data selected for the set. Such a sampling is shown to provide more suitable samples in terms of inlier ratio but also of consistency and ...
Meler, Antoine, Decrouez, Marion, Crowley, James L.   +2 more
openaire   +3 more sources

A Review on the Development and Key Technologies of Embodied Intelligent Industrial Robots in Smart Manufacturing

SmartBot, EarlyView.
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang, Mingsheng Li, Yiming Jiang, Hui Zhang, Zhiqiang Miao, Weixing Peng, He Xie, Yaonan Wang   +7 more
wiley   +1 more source

Fixing the RANSAC Stopping Criterion

CoRR
For several decades, RANSAC has been one of the most commonly used robust estimation algorithms for many problems in computer vision and related fields. The main contribution of this paper lies in addressing a long-standing error baked into virtually any system building upon the RANSAC algorithm. Since its inception in 1981 by Fischler and Bolles, many
Johannes L. Schönberger, Viktor Larsson, Marc Pollefeys   +2 more
openaire   +3 more sources

Regional Infrared and Visible Image Registration for Distribution Substation Areas With Wide Depth of Field

High Voltage, EarlyView.
ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley   +1 more source