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multi-object-tracking

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This project demonstrates a comprehensive Computer Vision Perception System that combines multiple state-of-the-art techniques for autonomous vehicle perception. The system integrates lane detection, object detection, and multi-object tracking to create a robust perception pipeline suitable for autonomous driving applications.

  • Updated Oct 21, 2025
  • Python

Real-time YOLO detection, multi-object tracking, and interactive object locking with TensorRT—optimized for NVIDIA Jetson (ARGUS via GStreamer) and GPUs.

  • Updated Aug 12, 2025
  • Python

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