Object Detection & Classification Using CNN-Based Fusion of Vision and LIDAR
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Object Detection & Classification Using CNN-Based Fusion of Vision and LIDAR
This project presents an object classification method for vision and light detection and ranging (LIDAR) fusion of autonomous vehicles in the environment. This method is based on convolutional neural network (CNN) and image up sampling theory. By creating a point cloud of LIDAR data up sampling and converting into pixel-level depth information ...
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