TUMFTM/CameraRadarFusionNet
CameraRadarFusionNet
CameraRadarFusionNet is a deep learning framework that combines camera and radar sensor data for improved object detection and perception in autonomous vehicles.
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TUMFTM
TUMFTM • individual
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Sep 30, 2019
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CameraRadarFusionNet is a deep learning framework that combines camera and radar sensor data for improved object detection and perception in autonomous vehicles. The repository implements neural network architectures for fusing multi-modal sensor inputs to enhance detection accuracy and robustness. It provides training scripts, model implementations, and evaluation tools for camera-radar fusion tasks.
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Updated 5 months ago
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- Project created
- Sep 30, 2019
- Forked
- Mar 23, 2026
- Your last push
- 5 months ago
- Upstream last push
- 5 months ago
- Tracked since
- Oct 29, 2025
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