Results 201 to 210 of about 6,675 (223)
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Bayesian Visual Odometry

AIP Conference Proceedings, 2011
Visual odometry refers to tracking the motion of a body using an onboard vision system. Practical visual odometry systems combine the complementary accuracy characteristics of vision and inertial measurement units. The Mars Exploration Rovers, Spirit and Opportunity, used this type of visual odometry.
Julian L. Center   +4 more
openaire   +1 more source

Maritime radar odometry inspired by visual odometry

2023 26th International Conference on Information Fusion (FUSION), 2023
Henrik D. Flemmen   +4 more
openaire   +1 more source

Dynamic RGB-D visual odometry

2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017
The aim of this paper is to estimate the ego-motion of an RGB-D camera in dynamic environments. A semi-direct motion estimation pipeline is modified for the RGB-D camera. In order to avoid the impact of dynamic objects, a new mapping method based on scoring mechanism is proposed, which can effectively remove feature points on dynamic objects and ...
Dongsheng Yang 0007   +4 more
openaire   +1 more source

Semantic-Direct Visual Odometry

IEEE Robotics and Automation Letters, 2022
Yaoqi Bao   +3 more
openaire   +1 more source

Monocular Visual Odometry Using Template Matching and IMU

IEEE Sensors Journal, 2021
Qingxi Zeng   +2 more
exaly  

Ray Visual Odometry

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Fanqi Xu, Yasin Almalioglu, Niki Trigoni
openaire   +1 more source

Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

International Journal of Robotics Research, 2017
Michael Bloesch   +2 more
exaly  

High-precision, consistent EKF-based visual-inertial odometry

International Journal of Robotics Research, 2013
Mingyang Li, Anastasios I Mourikis
exaly  

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks

International Journal of Robotics Research, 2018
Sen Wang, Ronald Clark, Hongkai Wen
exaly  

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