Results 21 to 30 of about 20,432 (202)
A Novel Visual SLAM Based on Multiple Deep Neural Networks
The current visual simultaneous localization and mapping (SLAM) systems require the use of matched feature point pairs to estimate camera pose and construct environmental maps.
Bihong Zhu +4 more
doaj +1 more source
Deep Direct Visual Odometry [PDF]
Traditional monocular direct visual odometry (DVO) is one of the most famous methods to estimate the ego-motion of robots and map environments from images simultaneously. However, DVO heavily relies on high-quality images and accurate initial pose estimation during tracking.
Chaoqiang Zhao +3 more
openaire +2 more sources
Visual-LiDAR Odometry Aided by Reduced IMU
This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro.
Yashar Balazadegan Sarvrood +2 more
doaj +1 more source
CVPR2023 Project page: https://zju3dv.github.io/pvo/ code: https://github.com/zju3dv ...
Ye, Weicai +7 more
openaire +2 more sources
Real-Time Vehicle Positioning and Mapping Using Graph Optimization
In this work, we propose and evaluate a pose-graph optimization-based real-time multi-sensor fusion framework for vehicle positioning using low-cost automotive-grade sensors. Pose-graphs can model multiple absolute and relative vehicle positioning sensor
Anweshan Das +2 more
doaj +1 more source
SiaN-VO: Siamese Network for Visual Odometry. [PDF]
Despite the significant advancements in drone sensory device reliability, data integrity from these devices remains critical in securing successful flight plans. A notable issue is the vulnerability of GNSS to jamming attacks or signal loss from satellites, potentially leading to incomplete drone flight plans.
Faiçal BS, Marcondes CAC, Verri FAN.
europepmc +4 more sources
Hybrid-Residual-Based RGBD Visual Odometry
Visual odometry has greatly progressed since non-linear optimization methods were introduced for pose estimation. Furthermore, RGBD visual odometry has become a hot research topic in the robotic and computer vision field with the introduction of RGBD ...
Qinghua Yu +3 more
doaj +1 more source
Semantic segmentation–aided visual odometry for urban autonomous driving
Visual odometry plays an important role in urban autonomous driving cars. Feature-based visual odometry methods sample the candidates randomly from all available feature points, while alignment-based visual odometry methods take all pixels into account ...
Lifeng An +3 more
doaj +1 more source
AN AUTOMATIC KEY-FRAME SELECTION METHOD FOR VISUAL ODOMETRY BASED ON THE IMPROVED PWC-NET [PDF]
In order to quick response to the rapid changes of mobile platforms in complex situations such as speedy changing direction or camera shake, visual odometry/visual simultaneous localization and mapping (VO/VSLAM) always needs a high frame rate vision ...
Y. Chen, L. Yan, X. Lin
doaj +1 more source
STELVIO: Exploring Factor Graphs for a Robust Stereo-Visual-LiDAR-Inertial Odometry [PDF]
Accurate and robust odometry is critical for mobile mapping and autonomous navigation, particularly in complex environments where single-sensor approaches struggle.
P. Trybała +5 more
doaj +1 more source

