Results 61 to 70 of about 6,675 (223)
An Attention-Based Odometry Framework for Multisensory Unmanned Ground Vehicles (UGVs)
Drones, 2023 Recently, deep learning methods and multisensory fusion have been applied to address odometry challenges in unmanned ground vehicles (UGVs). In this paper, we propose an end-to-end visual-lidar-inertial odometry framework to enhance the accuracy of pose ...
Zhiyao Xiao, Guobao Zhang
doaj +1 more source
High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, EarlyView.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
A Light Visual Mapping and Navigation Framework for Low-Cost Robots
Journal of Intelligent Systems, 2015 We address the problems of localization, mapping, and guidance for robots with limited computational resources by combining vision with the metrical information given by the robot odometry.
Bazeille Stephane +2 more
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Deep Learning for Underwater Visual Odometry Estimation
IEEE Access, 2020 This paper addresses Visual Odometry (VO) estimation in challenging underwater scenarios. Robot visual-based navigation faces several additional difficulties in the underwater context, which severely hinder both its robustness and the possibility for ...
Bernardo Teixeira +3 more
doaj +1 more source
Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments
Journal of Field Robotics, EarlyView.ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao +5 more
wiley +1 more source
CoRR, 2019 In this paper we propose an edge-direct visual odometry algorithm that efficiently utilizes edge pixels to find the relative pose that minimizes the photometric error between images. Prior work on exploiting edge pixels instead treats edges as features and employ various techniques to match edge lines or pixels, which adds unnecessary complexity ...
Kevin Christensen, Martial Hebert
openaire +2 more sources
Omnidirectional visual odometry for a planetary rover [PDF]
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005 Position estimation for planetary rovers has been typically limited to odometry based on proprioceptive measurements such as the integration of distance traveled and measurement of heading change. Here we present and compare two methods of online visual odometry suited for planetary rovers. Both methods use omnidirectional imagery to estimate motion of
Corke, Peter +2 more
openaire +1 more source
Implementation and experimental verification of a 3D-to-2D Visual Odometry Algorithm for real-time measurements of a vehicle pose [PDF]
, 2022 This work describes the implementation of a software for real-time vehicle pose reconstruction using stereo visual odometry algorithms. We firstly guess motion by a linear 2D-to-3D method solving a PnP problem embedded within a RANSAC process to remove ...
Soldà, Giulia
core
GPS-DENIED GEO-LOCALISATION USING VISUAL ODOMETRY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The primary method for geo-localization is based on GPS which has issues of localization accuracy, power consumption, and unavailability. This paper proposes a novel approach to geo-localization in a GPS-denied environment for a mobile platform.
A. Gupta, H. Chang, A. Yilmaz
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