Exploring Event Camera-Based Odometry for Planetary Robots

Author:

Mahlknecht Florian1ORCID,Gehrig Daniel2ORCID,Nash Jeremy1ORCID,Rockenbauer Friedrich M.1ORCID,Morrell Benjamin1ORCID,Delaune Jeff1ORCID,Scaramuzza Davide2ORCID

Affiliation:

1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

2. Robotics and Perception Group, University of Zurich, Zurich, Switzerland

Funder

National Centre of Competence in Research Robotics

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

European Research Council

Universität Zürich

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. EVI‐SAM: Robust, Real‐Time, Tightly‐Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping;Advanced Intelligent Systems;2024-07-05

2. A lunar reconnaissance drone for cooperative exploration and high-resolution mapping of extreme locations;Acta Astronautica;2024-05

3. Deep Event Visual Odometry;2024 International Conference on 3D Vision (3DV);2024-03-18

4. Event-based Fast Visual-Inertial Odometry by Adaptive Slicing of Time Surface;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

5. Event-and Frame-Based Visual-Inertial Odometry With Adaptive Filtering Based on 8-DOF Warping Uncertainty;IEEE Robotics and Automation Letters;2024-02

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