Results 1 to 10 of about 20,432 (202)
A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method [PDF]
In this paper, we propose a robust and integrated visual odometry framework exploiting the optical flow and feature point method that achieves faster pose estimate and considerable accuracy and robustness during the odometry process.
Haiyang Qiu +6 more
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Visual Odometry and Place Recognition Fusion for Vehicle Position Tracking in Urban Environments [PDF]
In this paper, we address the problem of vehicle localization in urban environments. We rely on visual odometry, calculating the incremental motion, to track the position of the vehicle and on place recognition to correct the accumulated drift of visual ...
Safa Ouerghi +3 more
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RGB-D SLAM Combining Visual Odometry and Extended Information Filter [PDF]
In this paper, we present a novel RGB-D SLAM system based on visual odometry and an extended information filter, which does not require any other sensors or odometry.
Heng Zhang +3 more
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Filtering Based Adaptive Visual Odometry Sensor Framework Robust to Blurred Images [PDF]
Visual odometry (VO) estimation from blurred image is a challenging problem in practical robot applications, and the blurred images will severely reduce the estimation accuracy of the VO.
Haiying Zhao +4 more
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Stereo Direct Sparse Visual–Inertial Odometry with Efficient Second-Order Minimization [PDF]
Visual–inertial odometry (VIO) is the primary supporting technology for autonomous systems, but it faces three major challenges: initialization sensitivity, dynamic illumination, and multi-sensor fusion.
Chenhui Fu, Jiangang Lu
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F-LVINS: Flexible Lidar-Visual-Inertial Odometry Systems
The development of a new system called Flexible Lidar-Visual-Inertial Odometry (F-LVINS) offers improved localization accuracy even in challenging environments.
Xiang-Shi Tang, Teng-Hu Cheng
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Road-Network-Map-Assisted Vehicle Positioning Based on Pose Graph Optimization
Satellite signals are easily lost in urban areas, which causes difficulty in vehicles being located with high precision. Visual odometry has been increasingly applied in navigation systems to solve this problem.
Shuchen Xu +4 more
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Visual odometry is critical in visual simultaneous localization and mapping for robot navigation. However, the pose estimation performance of most current visual odometry algorithms degrades in scenes with unevenly distributed features because dense ...
Chang Wang +4 more
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Multi-Sensor Fusion Self-Supervised Deep Odometry and Depth Estimation
This paper presents a new deep visual-inertial odometry and depth estimation framework for improving the accuracy of depth estimation and ego-motion from image sequences and inertial measurement unit (IMU) raw data.
Yingcai Wan +4 more
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Marked-LIEO: Visual Marker-Aided LiDAR/IMU/Encoder Integrated Odometry
In this paper, we propose a visual marker-aided LiDAR/IMU/encoder integrated odometry, Marked-LIEO, to achieve pose estimation of mobile robots in an indoor long corridor environment. In the first stage, we design the pre-integration model of encoder and
Baifan Chen +3 more
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