Results 81 to 90 of about 20,526 (204)

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

Efficient and Adaptive Autonomous Guidance and Control of Planetary Rover With Improved Traction Controller and Dynamic Cost Map

Journal of Field Robotics, EarlyView.
ABSTRACT Planetary exploration is rapidly gaining importance within the space research community. Autonomous locomotion of rovers requires consideration of several mobility aspects to ensure safety, including avoiding hazardous areas that can cause the robot to become immobilized in soft soil or damaged in sharp terrains.
Alessio De Luca, Luca Muratore, Nikos G. Tsagarakis, Martin Azkarate   +3 more
wiley   +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

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, Xueliang Cheng, Keir Groves, Barry Lennox, Ognjen Marjanovic, Simon Watson   +5 more
wiley   +1 more source

REVIO: Range- and Event-Based Visual-Inertial Odometry for Bio-Inspired Sensors

Biomimetics, 2022
Visual-inertial odometry is critical for Unmanned Aerial Vehicles (UAVs) and robotics. However, there are problems of motion drift and motion blur in sharp brightness changes and fast-motion scenes.
Yingxun Wang, Bo Shao, Chongchong Zhang, Jiang Zhao, Zhihao Cai   +4 more
doaj   +1 more source

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

Deep Event Visual Odometry

2024 International Conference on 3D Vision (3DV)
Event cameras offer the exciting possibility of tracking the camera's pose during high-speed motion and in adverse lighting conditions. Despite this promise, existing event-based monocular visual odometry (VO) approaches demonstrate limited performance on recent benchmarks.
Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers   +3 more
openaire   +2 more sources

GPS-aided Visual Wheel Odometry

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023
Accepted by IEEE ITSC ...
Junlin Song, Pedro J. Sanchez-Cuevas, Antoine Richard, Miguel A. Olivares-Méndez   +3 more
openaire   +2 more sources

A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, to deal with the dynamic SLAM problem, we investigate feature tracking and IMU preintegration in visual‐inertial odometry (VIO) and design a robust SLAM framework that explicitly considers robot self‐dynamics. We propose a self‐dynamics and IMU‐aided feature tracker to predict initial optical flow and an iterative refinement ...
Junyin Qiu, Hong Liu, Tianwei Zhang
wiley   +1 more source

GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion

, 2017
Many monocular visual SLAM algorithms are derived from incremental structure-from-motion (SfM) methods. This work proposes a novel monocular SLAM method which integrates recent advances made in global SfM. In particular, we present two main contributions
Tan, Ping, Tang, Chengzhou, Wang, Oliver
core   +1 more source