By Ravi Prakash, Director Product Marketing
Why should you care about self-driving vehicles? One reason – people enjoy driving this!
but prefer not having to personally drive through this type of rush-hour traffic!
Self-driving vehicles take away the tedium of driving at a snail’s pace in rush hour traffic leaving human beings with just the pleasurable aspects of driving on country roads in roadsters.
Goldman Sachs predicts that ride hailing business will be a $285 Billion business in 2030. Companies most likely to succeed in delivering autonomous vehicles are General Motors (GM) in the USA and Daimler (parent company of Mercedes) in Europe.
GM has announced plans to deploy a ride hailing services based on a self-driving Chevy Bolt with no steering wheel and no pedals on the road in 2019! GM spent $600M on Cruise automation to date.
Daimler (the world’s number 1 manufacturer of premium luxury vehicles) works closely with Robert Bosch Gmbh (the world’s number 1 supplier to the automotive industry) to create software for self-driving vehicles and aims for level 4 or level 5 autonomy which means no steering wheels or pedals! These companies have partnered with NVIDIA whose DRIVE Pegasus unit is designed for AI and vision processing.
Autonomous driving isn’t as far-fetched as you may think. Bear in the mind that the NASA Mars Rover is a prime example of driverless vehicle.
Advanced driver-assistance systems, or ADAS, are systems to help the vehicle brake automatically in emergencies, change lanes when needed, parallel park. ADAS automation levels may vary from SAE level 0 (no automation) to SAE level 5 (full automation). To build a control unit for any of these SAE levels, automotive suppliers have to build a control unit which in turn requires capturing millions of kilometers of driving data and creating simulations. A Hardware in the Loop (HiL) simulation may involve having a camera as part of the workflow. HiL simulation usually involves NAS systems where application-aware infrastructure monitoring platforms like VirtualWisdom play a crucial role in ensuring that the automotive supplier can run more simulations per day to better test new innovations against safety parameters. To learn more about how VirtualWisdom is used by automotive suppliers in HiL simulations check out this technical brief and case study. If you’d like to explore this topic further, give us a call!