Results 81 to 90 of about 2,698 (178)

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, Volume 43, Issue 3, Page 1332-1362, May 2026.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +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

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

Journal of Field Robotics, Volume 43, Issue 3, Page 1719-1738, May 2026.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen, Dmitry Ignatyev, Argyrios Zolotas   +2 more
wiley   +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

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

Learning Visual Odometry with a Convolutional Network

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
We present an approach to predicting velocity and direction changes from visual information (”visual odometry”) using an end-to-end, deep learning-based architecture. The architecture uses a single type of computational module and learning rule to extract visual motion, depth, and finally odometry information from the raw data. Representations of depth
Kishore Reddy Konda, Roland Memisevic
openaire   +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

AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles

Advanced Intelligent Systems
Keyframe selection remains a critical challenge in visual odometry, significantly influencing overall system performance. Traditional approaches have primarily focused on identifying meaningful frames; however, in cases where the robot operates at high ...
Donghyun Lee, I Made Putra Arya Winata, Beomsu Cho, Junghyun Oh   +3 more
doaj   +1 more source