Results 51 to 60 of about 14,413,856 (151)

A Survey of Visual SLAM Based on RGB-D Images Using Deep Learning and Comparative Study for VOE

open access: yesAlgorithms
Visual simultaneous localization and mapping (Visual SLAM) based on RGB-D image data includes two main tasks: One is to build an environment map, and the other is to simultaneously track the position and movement of visual odometry estimation (VOE ...
Van-Hung Le, Thi-Ha-Phuong Nguyen
doaj   +1 more source

TIMA SLAM: Tracking Independently and Mapping Altogether for an Uncalibrated Multi-Camera System

open access: yesSensors, 2021
We present a novel simultaneous localization and mapping (SLAM) system that extends the state-of-the-art ORB-SLAM2 for multi-camera usage without precalibration.
Omer Faruk Ince, Jun-Sik Kim
doaj   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall   +2 more
wiley   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

open access: yesJournal 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   +12 more
wiley   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota   +3 more
wiley   +1 more source

Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM

open access: yesSensors, 2021
Visual simultaneous location and mapping (SLAM) using RGB-D cameras has been a necessary capability for intelligent mobile robots. However, when using point-cloud map representations as most RGB-D SLAM systems do, limitations in onboard compute resources,
Jincheng Zhang   +4 more
doaj   +1 more source

Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation.
Max Brandstätter   +4 more
wiley   +1 more source

Linear RGB-D SLAM for Structured Environments

open access: yes, 2021
We propose a new linear RGB-D SLAM formulation by utilizing planar features of the structured environments. The key idea is to understand given a structured scene and exploit its structural regularities such as the Manhattan world.
Martial Hebert   +8 more
core   +1 more source

A FREQUENCY-DRIFT COMPENSATED CLOSED-FORM SOLUTION FOR STEREO RGB-D MAPPING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In this work, we present a frequency-drift compensated (Fd-C) closed-form solution for stereo RGB-D SLAM. The intrinsic parameters for each sensor are first obtained with a standard camera calibration process and the extrinsic orientation parameters ...
S. J. Tang   +7 more
doaj   +1 more source

G2P-SLAM: Generalized RGB-D SLAM Framework for Mobile Robots in Low-Dynamic Environments

open access: yesIEEE Access, 2022
In this paper, we propose a generalized grouping and pruning method for RGB-D SLAM in low-dynamic environments. The conventional grouping and pruning methods successfully reject the effect of dynamic objects in pose graph optimization (PGO).
Seungwon Song   +3 more
doaj   +1 more source

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