Car-Velocity-Estimation-using-OpticalFlow-DL

This repository is dedicated to Optical Flow-based Velocity Estimation for car motion analysis. The project incorporates classic algorithms such as Lucas-Kanade and Farneback, along with advanced deep learning approaches like RAFT. Additionally, it includes a hardware implementation on a robot rover, utilizing Raspberry Pi and Pi Camera.

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6 Stars

3 Forks

6 Watchers

Python Language

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$3.34M

Market Value

$3.78M

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1 data points · 2025-08-31 → 2025-08-31

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What is the Rishikesh-Jadhav/Car-Velocity-Estimation-using-OpticalFlow-DL GitHub project? Description: "This repository is dedicated to Optical Flow-based Velocity Estimation for car motion analysis. The project incorporates classic algorithms such as Lucas-Kanade and Farneback, along with advanced deep learning approaches like RAFT. Additionally, it includes a hardware implementation on a robot rover, utilizing Raspberry Pi and Pi Camera.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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