Video Overview:
NVIDIA Isaac Perceptor, optimized on Jetson Orin, uses multiple cameras for 3D surround perception to detect obstacles like low-lying hazards or overhangs, which are invisible to standard 2D lidar.
Using robust AI-based depth estimation, GPU-Accelerated 3D reconstruction, and semantic segmentation, the mobile robot can work more safely alongside humans.
Key Points:
- Isaac Perceptor is a live multi-camera, surround visual perception running on Jetson.
- Isaac Perceptor is ‌GPU-accelerated and optimized on Orin, leaving headroom for adding other SW such as navigation stack.
- The traditional approaches have predominantly utilized 2D lidars, which offer limited functionality, or 3D lidars, known for their prohibitive costs. Isaac Perceptor revolutionizes this by offering an affordable, camera-based solution that doesn't compromise on capability. Also, brings visual AI semantics for autonomy.
Learn more about NVIDIA Isaac Perceptor: nvda.ws/43nAZUY
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