aofrancani/DeepVO

Unofficial PyTorch implementation of the DeepVO model

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/ 100
Emerging

This project helps robotics engineers and autonomous vehicle researchers estimate vehicle motion using only camera footage. It takes a sequence of stereo camera images and outputs the estimated 6-DOF (degrees of freedom) trajectory of the vehicle, which is crucial for navigation and mapping. The end-user would be someone working on self-driving cars, drones, or mobile robots who needs to determine precise localization without relying solely on GPS.

No commits in the last 6 months.

Use this if you need to train or evaluate a deep learning model for visual odometry, particularly if you are working with the KITTI dataset or similar sequential image data for mobile robot navigation.

Not ideal if you are looking for a plug-and-play solution that does not require Python development experience or if your primary need is real-time deployment on embedded systems without further optimization.

autonomous-navigation robotics-localization vehicle-odometry computer-vision SLAM
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

5

Forks

2

Language

Python

License

MIT

Last pushed

Oct 31, 2024

Commits (30d)

0

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