ARC Processor Summit Proceedings
Optimizing Deep Learning Perception Software for ADAS and Autonomous Driving
StradVision has developed SVNet, a deep-learning-based object detection of 6 object classes (Pedestrian, Car, Bus, Truck, Box Truck, Two-wheeler). SVNet is robust for bad weather/lighting conditions (e.g., rain, snow, fog, night), small object sizes (e.g., 32 pixel height pedestrian, 20 pixel height vehicle), and occlusion (up to 75% occlusion). In this presentation, I will describe automotive OEM/Tier-1's requirements (for frontal camera, rear camera, around view monitoring), technical challenges, and how our solution can address them with DesignWare EV6x Vision Processors and its dedicated CNN Engine.
Chungbin Heo, Optimization Engineer, StradVision, Inc.
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