Results 161 to 170 of about 20,526 (204)
RWKV-VIO: An Efficient and Low-Drift Visual-Inertial Odometry Using an End-to-End Deep Network. [PDF]
Sensors (Basel)Yang J, Xu X, Xu Z, Wu Z, Chu W.
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VINA-SLAM: A Voxel-Based Inertial and Normal-Aligned LiDAR-IMU SLAM. [PDF]
Sensors (Basel)Zhang R, Sun B.
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction. [PDF]
Sensors (Basel)Yue L +5 more
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A review of monocular visual odometry
Visual Computer, 2019Monocular visual odometry provides more robust functions on navigation and obstacle avoidance for mobile robots than other visual odometries, such as binocular visual odometry, RGB-D visual odometry and basic odometry. This paper describes the problem of visual odometry and also determines the relationships between visual odometry and visual ...
Chaozheng Zhu, Qian Huang
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Equivariant Visual Odometry in the Wild
2020 59th IEEE Conference on Decision and Control (CDC), 2020Visual Odometry is a core problem in robotics. Recent advances in equivariant systems theory, and the discovery of symmetries for the visual odometry problem, has provided a new perspective that is leading to new algorithms. This paper provides an overview of the geometry of visual odometry problem and an algorithm that results from this perspective.
Robert E. Mahony +5 more
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Visual Multimodal Odometry: Robust Visual Odometry in Harsh Environments
2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2018Ahstract- For autonomous localization and navigation, a robot's ego-motion estimation is fundamental. RGB camera-based visual odometry (VO) has proven to be a robust technique used to determine a robot's motion. In situations when direct sunlight, the absence of light or presence of dust as well as smoke make vision difficult, RGB cameras may not ...
Sebastian P. Kleinschmidt +1 more
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Cooperative Visual-Inertial Odometry
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021This paper studies the problem of multi-robot cooperative visual-inertial localization where each robot is equipped with only a single camera and IMU. We develop two cooperative visual-inertial odometry (C-VIO) algorithms within the multi-state constraint Kalman filter (MSCKF) framework, in which each robot utilizes not only its own measurements but ...
Pengxiang Zhu +3 more
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2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM), 2018
Accurate visual odometry is essential for many fields such as robot navigation and autonomous driving. In this paper, we propose a novel panoramic visual odometry algorithm that is real-time, precise and robust. The main contributions of our work are a series of innovations that address the challenge of effective initialization and robust feature ...
Minjie Lin, Qixin Cao, Haoruo Zhang
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Accurate visual odometry is essential for many fields such as robot navigation and autonomous driving. In this paper, we propose a novel panoramic visual odometry algorithm that is real-time, precise and robust. The main contributions of our work are a series of innovations that address the challenge of effective initialization and robust feature ...
Minjie Lin, Qixin Cao, Haoruo Zhang
openaire +1 more source