BOT 103 Spatial Intelligence using Jetson Orin and RealSense Depth Camera
Автор: Imran Khan
Загружено: 2026-01-06
Просмотров: 16
The BOT-103 course provides a comprehensive framework for transitioning deep learning models from cloud-based training to real-time edge deployment on the NVIDIA Jetson Orin platform. The curriculum guides users through a two-phase pipeline, beginning with custom dataset preparation in RoboFlow and model training using YOLOv11 in PyTorch. The second phase focuses on hardware acceleration, utilizing TensorRT and DeepStream to optimize performance for resource-constrained environments. A central theme is the shift from 2D visual perception to 3D spatial intelligence through ortho-rectification, which projects camera detections onto a geospatial UTM grid. This transformation enables sophisticated capabilities like multi-object tracking, velocity calculation, and sensor fusion for autonomous systems. Ultimately, the course equips developers with the skills to build production-ready robotic systems used in industries such as autonomous vehicles and smart city infrastructure.
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