Results 71 to 80 of about 2,698 (178)
RGB-DSLAM Visual Odometry Optimization Algorithm
In view of the long time-consuming and poor precision of RGB-D SLAM algorithm in the field ofvisual SLAM,an implementation scheme of RGB-D SLAM visual odometry is proposed.
DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu
doaj +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen +7 more
wiley +1 more source
A Robust Visual Inertial Odometry SLAM Considering Robot Self Dynamics
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
Development of Stereo Visual Odometry Based on Photogrammetric Feature Optimization
One of the important image processing technologies is visual odometry (VO) technology. VO estimates platform motion through a sequence of images. VO is of interest in the virtual reality (VR) industry as well as the automobile industry because the ...
Sung-Joo Yoon, Taejung Kim
doaj +1 more source
Improved Point–Line Visual–Inertial Odometry System Using Helmert Variance Component Estimation
Mobile platform visual image sequence inevitably has large areas with various types of weak textures, which affect the acquisition of accurate pose in the subsequent platform moving process. The visual–inertial odometry (VIO) with point features and line
Bo Xu +3 more
doaj +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Improved Omnidirectional Odometry for a View-Based Mapping Approach
This work presents an improved visual odometry using omnidirectional images. The main purpose is to generate a reliable prior input which enhances the SLAM (Simultaneous Localization and Mapping) estimation tasks within the framework of navigation in ...
David Valiente +4 more
doaj +1 more source

