Computer Vision is the junction of image acquisition (ex: cameras) and the computer power that can make sense of the images coming from the cameras. Using Computer Vision (CV), systems can make some kind of sense of their world, which is in turn used to help machines operate in that world. For our purposes, CV is the creation of usable 3D models and recognition of the objects in that model for the purposes of ADAS or autonomous cars. On the sensory side, CV is not limited to cameras. Our meeting will include "vision" that goes beyond anthropomorphic sensory capabilities, to include things like laser, sonar, and light frequencies above and beyond our eyes' reach. Cars are not people, which can be used to their advantage to "see" so much more than we can. On the processing side, CV is dependent on the processing power of the underlying machine, and also on the AI of the software that powers it. The AI needs to take wireframe models of the car's environment, and "understand" what it is seeing through object recognition and machine learning: When is a child about to enter the road, and when is the child just standing on the shoulder? When is a fixie bike just balancing at standstill, and when is it about to cut in front of the car? CV means seeing these types of objects, understanding them, and making useful predictions about their physical paths and threat levels. Join 100+ Autotech Council members, OEMs, vendors, startups and VCs to take a closer look at the sensors, the computing hardware, and the software behind Computer Vision. For Members-Only: After lunch, Autotech Council will debrief the 2016 Telematics Update - Automotive among members. These debrief sessions mix news with opinions for those members who did not participate at either show and we encourage our participants to actively contribute their insights to each highlighted topic.