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Multi-modal sensor fusion pipeline that enhances LiDAR-based 3D object detection (PointPillars) by integrating semantic features from 2D camera images (YOLOv8) on the KITTI dataset.
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This project is a standard implementation of sensor fusion techniques for autonomous driving research. While functional, it utilizes commodity components (YOLOv8, PointPillars) and lacks significant community traction or unique IP that would distinguish it from existing academic benchmarks or industrial perception stacks.
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cli_tool
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