nacayu/CRFNet_Tensorflow2.4.1

Reproduce CRFNet official implementation on windows10, tensorflow2.4.1

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Emerging

This project helps self-driving car engineers and researchers build and evaluate object detection systems that combine data from both cameras and radars. It takes raw camera images and radar sensor readings as input, and outputs precise bounding boxes around objects, enhancing detection accuracy, especially in challenging conditions. The primary users are researchers and engineers working on autonomous vehicle perception systems.

No commits in the last 6 months.

Use this if you need to train or evaluate an object detection model that fuses camera and radar data for autonomous driving applications.

Not ideal if you are looking for a general-purpose object detection tool that doesn't specifically leverage radar data or if your focus is not on automotive perception.

autonomous-driving object-detection sensor-fusion automotive-perception robotics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

42

Forks

5

Language

Python

License

Last pushed

Apr 25, 2022

Commits (30d)

0

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