matlab-deep-learning/Lidar-object-detection-using-complex-yolov4
Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
This project helps automotive engineers and robotics developers accurately detect objects like cars, trucks, and pedestrians from LiDAR sensor data. It takes raw LiDAR point clouds and outputs precise 3D bounding boxes around detected objects. This is primarily used by engineers working on autonomous vehicles, mapping, or robotic navigation systems.
No commits in the last 6 months.
Use this if you need to identify and localize objects in real-time from LiDAR point cloud data using a pre-trained or fine-tuned deep learning model in MATLAB.
Not ideal if your primary data source is traditional 2D camera imagery or if you require an object detection solution outside of the MATLAB ecosystem.
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MATLAB
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Last pushed
Sep 05, 2025
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