Mixed Reality Maps for Autonomous Cars and Future Value Added Services for Passengers
Self Driving Cars need to groom passengers to feel safe and comfortable during a ride. Therefore it is important for the car to communicate it's capabilities and intentions in a way that the user has complete confidence in the decision making capabilities of the car. With the advancements in 3D mapping, ADAS safety systems, and complex decision engines; a passenger of the future will be informed of all the relevant information at the right time with the appropriate context for them to feel connected with the vehicle. This feedback loop is the pre-requisite step for passengers to feel in control of a car that is operating autonomously. In this presentation we will go over some of the key technologies such as Distributed AI, Cloud Robotics, Augmented Reality Human Machine Interfaces, Discovery services and other Value Added Services that will become important for passengers as cars become more autonomous.
Sravan founded Civil Maps, a computer vision robotics company that crowdsources 3D Semantic Maps and allows mobile robotics platforms to make decisions. He invented Video Fingerprinting for Linear Broadcast TV to compete with Neilson at his previous company. He wrote fairly substantive chunks of AI algorithms on cars which map the world in 3D--the most popular vehicular platform.
Sravan is the co-founder and CEO of Civil Maps, a computer vision robotics company that crowdsources 3D semantic maps and allows mobile robotics platforms to make decisions. In his previous work, he invented video fingerprinting for linear broadcast TV to track viewing habits and contributed to software that runs in more than 30 million TVs. He has written substantial portions of artificial intelligence (AI) algorithms on cars which map the world in 3D.