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Fully Event-Inspired Visual Odometry, consisting of 1) Event-based Feature Tracker; 2) Monocular Visual Odometry based on feature tracks; 3) Motion Compensation of event images.

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nurlanov-zh/event-based-odomety

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Event-based visual odometry

This project is the final project for the course Vision-based navigation taught at TUM in SS20. Nikita Korobov and Zhakshylyk Nurlanov contibuted equally. For the detailed review please go to our technical report

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Fully Event-Inspired Visual Odometry, consisting of 1) Event-based Feature Tracker; 2) Monocular Visual Odometry based on feature tracks; 3) Motion Compensation of event images.

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