Enabling Technology for Autonomous Driving

Imagry software enables L3 autonomous driving in passenger vehicles. The Imagry AI-based autonomous driving solution is divided into two software processes: Perception & Motion Planning How it Works During the Perception stage, images are collected by cameras positioned around the vehicle. Then, using proprietary IP tools for image annotation, various deep convolutional neural networks (DCNN) are trained, each responsible for identifying a different object (traffic light, parked/moving vehicle, pedestrian, road marking, etc.). The result is a real-time, 360°, 3D, HD-equivalent map of the area up to a distance of 300 meters in front of the vehicle. The generated map is passed to the Motion Planning stage, which includes a DCNN trained by supervised learning techniques to mimic a human driver to produce instructions for the autonomous vehicle as to how to react under the current circumstances. In a nutshell, the Imagry AI-based autonomous driving solution uses a combination of Artificial Intelligence (AI), image recognition IP, and supervised learning techniques to mimic skillful human driving. It can operate the vehicle autonomously within existing road infrastructure.