Results 101 to 110 of about 20,526 (204)

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, Volume 43, Issue 3, Page 1884-1904, May 2026.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu, Haotian Li, Chongjian Yuan, Xiyuan Liu, Jiarong Lin, Rundong Li, Chunran Zheng, Bingyang Zhou, Wenyi Liu, Fu Zhang   +9 more
wiley   +1 more source

LO-Net: Deep Real-time Lidar Odometry

, 2019
We present a novel deep convolutional network pipeline, LO-Net, for real-time lidar odometry estimation. Unlike most existing lidar odometry (LO) estimations that go through individually designed feature selection, feature matching, and pose estimation ...
Chen, Shaoyang, Cheng, Ming, Li, Jonathan, Li, Qing, Li, Xin, Wang, Cheng, Wen, Chenglu   +6 more
core   +1 more source

Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach

IEEE Access
Estimating the camera’s pose given images from a single camera is a traditional task in mobile robots and autonomous vehicles. This problem is called monocular visual odometry and often relies on geometric approaches that require considerable ...
Andre O. Francani, Marcos R. O. A. Maximo   +1 more
doaj   +1 more source

Structure-aware sample consensus for robust stereo visual odometry

International Journal of Distributed Sensor Networks, 2017
With the expansion of underground infrastructure in the urban areas, positioning in such scenario becomes a crucial problem for the ubiquitous urban positioning applications.
Chun Liu, Zhengning Li, Zhuo Chen, Hangbin Wu   +3 more
doaj   +1 more source

Bi-direction Direct RGB-D Visual Odometry

Applied Artificial Intelligence, 2020
Direct visual odometry (DVO) is an important vision task which aims to obtain the camera motion via minimizing the photometric error across the different correlated images.
Jiyuan Cai, Lingkun Luo, Shiqiang Hu
doaj   +1 more source

LDSO: Direct Sparse Odometry with Loop Closure

, 2018
In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO).
Cremers, Daniel, Demmel, Nikolaus, Gao, Xiang, Wang, Rui   +3 more
core   +1 more source

Environmental-structure-perception-based adaptive pose fusion method for LiDAR-visual-inertial odometry

International Journal of Advanced Robotic Systems
Light Detection and Ranging (LiDAR)-visual-inertial odometry can provide accurate poses for the localization of unmanned vehicles working in unknown environments in the absence of Global Positioning System (GPS).
Zixu Zhao, Chang Liu, Wenyao Yu, Jinglin Shi, Dalin Zhang   +4 more
doaj   +1 more source

Stereo Vision SLAM with SuperPoint and SuperGlue [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This paper presents a method for stereo visual odometry and mapping that integrates VINS-Fusion-based visual odometry estimation with deep learning techniques for camera pose tracking and stereo image matching.
S.-W. Yoon, S.-Y. Park
doaj   +1 more source

VSO: Visual Semantic Odometry

, 2018
Robust data association is a core problem of visual odometry, where image-to-image correspondences provide constraints for camera pose and map estimation. Current state-of-the-art direct and indirect methods use short-term tracking to obtain continuous frame-to-frame constraints, while long-term constraints are established using loop closures.
Konstantinos-Nektarios Lianos, Johannes L. Schönberger, Marc Pollefeys, Torsten Sattler   +3 more
openaire   +2 more sources