Advanced perception system for autonomous vehicle research with stereo cameras and pre-trained AI models.
Designed by Vision2X in United States of America
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VisionSense™ Research & Development Platform VisionSense™ is a cutting-edge, open-source perception system designed for autonomous vehicle research. Built around the powerful NVIDIA Jetson Orin Nano…
Read More…VisionSense™ is a cutting-edge, open-source perception system designed for autonomous vehicle research. Built around the powerful NVIDIA Jetson Orin Nano, it pairs versatile stereo and mono camera modules with a robust AI software stack, delivering real-time scene understanding out of the box.
AI Capability | Description |
---|---|
🚦 Lane Detection & Segmentation | Uses CLRerNet (SOTA) with TensorRT acceleration; achieves 81.5% F1 on CULane and 95% on TuSimple benchmarks. |
🚗 Object Detection & Tracking | Employs YOLOv13 (trained on 135k images) for 10 object classes; up to 71% mAP@50; BoT-SORT for multi-object tracking. |
🛑 Traffic Sign & Light Recognition | Detects and classifies regulatory signs and traffic light states in real time. |
📏 Depth Estimation | Stereo-based 3D depth mapping for obstacle detection and environment understanding. |
Ideal For:
By packaging all the critical hardware and advanced AI models in one integrated package, VisionSense™ empowers both professionals and enthusiasts to jump-start their work in autonomous perception straight out of the box.
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