aofrancani/TSformer-VO
Implementation of the paper "Transformer-based model for monocular visual odometry: a video understanding approach".
This project helps mobile robots and autonomous vehicles track their precise movement and orientation using video from a single camera. It takes a sequence of images (like a video clip) as input and outputs the camera's 6-degrees-of-freedom pose estimates, telling the vehicle exactly where it is and how it's oriented in space. This tool is for robotics engineers, autonomous vehicle developers, and researchers working on vehicle localization and navigation.
100 stars. No commits in the last 6 months.
Use this if you need an accurate, deep learning-based method to estimate the movement and orientation of a camera on a mobile robot or autonomous vehicle from standard video footage.
Not ideal if you require real-time, highly optimized performance on embedded systems without significant further engineering, or if you prefer traditional geometry-based visual odometry methods.
Stars
100
Forks
21
Language
Python
License
MIT
Category
Last pushed
Jan 25, 2025
Commits (30d)
0
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