2:30pm - 3:15pm
Optimizing Deep Learning Perception Software for ADAS and Autonomous Driving
Chungbin Heo, Optimization Engineer, StradVision, Inc.
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.