Train state-of-the-art YOLOv11 detectors, build 3D neural radiance fields, and deploy TensorRT-accelerated models onto NVIDIA Jetson robotics hardware.
Download Syllabus [PDF]Fine-tune YOLO architectures on proprietary imagery. Implement ByteTrack and DeepSORT for multi-object persistence.
Reconstruct photorealistic 3D spatial environments from uncalibrated 2D video sequences at 100+ frames per second.
Optimize deep neural networks with TensorRT, ONNX Runtime, and INT8 quantization for sub-10ms robotics inference.