Results 41 to 50 of about 2,064,870 (170)

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

Journal 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, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

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, Hugo Silva, Anibal Matos, Eduardo Silva   +3 more
doaj   +1 more source

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
doaj   +1 more source

Stair‐Climbing Wheelchairs for Enhanced Mobility: A Comprehensive Review of Fundamental Mechanisms, Design Concepts, and Performance Analysis

Journal of Field Robotics, EarlyView.
ABSTRACT People with physical disabilities face significant mobility challenges while climbing uneven surfaces and staircases. In these circumstances, traditional wheelchairs do not provide stable, safely controlled mobility, underscoring the importance of building superior stair‐climbing wheelchairs for both medical and infrastructure purposes.
Gopisetti Manikanta, S. M. Abhinandan, Anand Reddy, G. Chandana, Divya, P. Anil Kumar, Ch. Venkata Rao, Ashish Garg, Ravi C. Soni, Jogendra Kumar, Bhargav Akkinepally   +10 more
wiley   +1 more source

Bags of tricks for learning depth and camera motion from monocular videos

Virtual Reality & Intelligent Hardware, 2019
Background: Based on the seminal work proposed by Zhou et al., much of the recent progress in learning monocular visual odometry, i. e. depth and camera motion from monocular videos, can be attributed to the tricks in the training procedure, such as data
Bowen Dong, Lu Sheng
doaj   +1 more source

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

Journal of Field Robotics, EarlyView.
ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley   +1 more source

Visual Prediction of Rover Slip: Learning Algorithms and Field Experiments [PDF]

, 2008
Perception of the surrounding environment is an essential tool for intelligent navigation in any autonomous vehicle. In the context of Mars exploration, there is a strong motivation to enhance the perception of the rovers beyond geometry-based obstacle ...
Angelova, Anelia Nedelcheva
core   +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

Visual Odometry Using Generative Artificial Intelligence [PDF]

, 2023
Visual odometry involves the use of a sequence of images for navigation. Visual odometry relies on registering and optically following key points as they move across the sequence of images.
Max, Lenord Melvix Joseph Stephen
core   +1 more source

Real-Time Localization and Mapping Utilizing Multi-Sensor Fusion and Visual–IMU–Wheel Odometry for Agricultural Robots in Unstructured, Dynamic and GPS-Denied Greenhouse Environments

Agronomy, 2022
Autonomous navigation in greenhouses requires agricultural robots to localize and generate a globally consistent map of surroundings in real-time. However, accurate and robust localization and mapping are still challenging for agricultural robots due to ...
Yaxuan Yan, Baohua Zhang, Jun Zhou, Yibo Zhang, Xiao’ang Liu   +4 more
doaj   +1 more source