xVIO: A Range-Visual-Inertial Odometry Framework
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Abstract (arXiv)
xVIO is a range-visual-inertial odometry algorithm implemented at JPL. It has been demonstrated with closed-loop controls on-board unmanned rotorcraft equipped with off-the-shelf embedded computers and sensors. It can operate at daytime with visible-spectrum cameras, or at night time using thermal infrared cameras. This report is a complete technical description of xVIO. It includes an overview of the system architecture, the implementation of the navigation filter, along with the derivations of the Jacobian matrices which are not already published in the literature.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Oct 2020.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
5 papers.
- 2022Exploring Event Camera-based Odometry for Planetary Robotscited by 34
- 2022Data-Efficient Collaborative Decentralized Thermal-Inertial Odometrycited by 4
- 2022Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVscited by 3
- 2026Online Adaptation of Visual Odometry Frontends with Image-Conditioned Reinforcement Learningcited by 0
- 2026Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspensioncited by 0
- 2026Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension5 Jun 2026
- 2026Online Adaptation of Visual Odometry Frontends with Image-Conditioned Reinforcement Learning23 Mar 2026
- 2022Data-Efficient Collaborative Decentralized Thermal-Inertial Odometry14 Sep 2022
- 2022Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs7 May 2022
- 2022Exploring Event Camera-based Odometry for Planetary Robots12 Apr 2022