Building the Brain of Autonomous Vehicles: Civil Maps CEO Talks to theCUBE at Autotech Council Event
Here’s a video featuring Sravan, Civil Maps CEO and founder, breaking down the components of our technology and the way they interact to deliver uniquely advanced cognition for autonomous vehicles.
I want to share this clip because in this interview, Sravan explains in simple terms the intelligence capabilities self-driving cars need, and how Civil Maps’ software delivers them.
Sravan was speaking with Jeff Frick, host of SiliconANGLE Media’s live interview show, theCUBE, about the importance of merging sensory data for both driverless cars and people. The interview took place during the Autotech Council’s Innovation in Motion meeting on HD Maps and GIS Systems at Western Digital in Milpitas, CA.
Comparing autonomous vehicle cognition to human cognition, Sravan told theCUBE, “We as humans have multiple senses — we have our eyes, ears, sense of touch, even the sense of orientation through our sinuses, so cars are very similar. They have to create a sensor fusion to create a more enhanced perspective. When any single sensor doesn’t work, they can still recover.”
In many ways, the decision-making abilities of autonomous cars function like advanced human cognition. Through the concept of sensor fusion, an autonomous car’s sensors and decision engine operate much like the nervous system and the brain.
Just as with sight or hearing, Sravan explained that sensor devices (e.g.: IMU, radar or GPS) allow driverless cars to scan the environment. This captured data, which is synthesized by electronic control systems or a decision engine, allows autonomous vehicles to interact and actualize decisions in the real world.
The cognition engine of an autonomous car should be able to use sensor-captured data to anticipate different scenarios (a nearly endless number, in fact), and remember them for their next drive. Only then can manufacturers and companies like Civil Maps ensure the safety of passengers.
In addition, there are other tactics that can improve passenger confidence. Civil Maps’ AR (Augmented Reality) Maps feature “marries” the map and the sensor data. Not only does the heads-up display showcase what the car sees, it also provides another layer of interactivity or control. Sravan reiterated this in his closing point: “Just the functionality of going from Point A to Point B is not enough. People need that sense of control to do all the things they use the car for.”
To watch Sravan’s complete interview with theCUBE at the Autotech Council, click here.