Image result for NVIDIA driverless car computers just got a nervous system

Self-driving cars, the future of the automotive industry, are coming up every day in the market with various new technologies built in them for better performance and minimal use of natural resources thus leading to eco-friendly automobiles.

NVIDIA with Aquantia is announcing a new, super-high-speed connectivity system designed for driverless data. Being one of the world’s best-known manufacturers of computer graphics cards they announced a new, more powerful computing platform for use in autonomous vehicles. The company claims its new system, codenamed Pegasus, can be used to power Level 5, fully driverless cars without steering wheels, pedals, or mirrors.NVIDIA’s DRIVE Pegasus and DRIVE Xavier AI platforms will be used with Aquantia in order to keep up with the huge flow of information between sensors.

The new platform will deliver 320 trillion operations per seconds which is 10 times faster than its predecessor’s processing speed. Pegasus will be used by various companies which are currently working on self-driving technologies.

For achieving a safe self-driving experience a 10 Gbps Ethernet connection will be in use, which NVIDIA and Aquantia have designed to minimize latency between the multiple components a driverless car will need to integrate.

Image result for NVIDIA driverless car computers just got a nervous system

NVIDIA promises Level 5 autonomy and it couldn’t be overlooked because most of the tech companies are very certain about the level of autonomy which they’ll be providing in their cars. Audi A8 is supposed to be Level 3 autonomy. Most of the car makers are not using Level 4 and 5 because it is dangerous and would go directly to level 5. NVIDIA would be delivering the latest autonomy level next year.

For now, self-driving cars without any human interactions is only on papers and not a reality. It would take years, if not decades for that to come true. NVIDIA’s latest DRIVE AI platforms with data from LIDAR laser scanners will map the roadway around the vehicle in 360-degrees, as well as camera vision sensors helping differentiate between pedestrians, cyclists, and more. The cameras and sensors collecting a huge amount of data need to be supervised faster which the 10 GBPS Ethernet processor will take control of for the safety of passengers and others sharing the road.

Autonomous vehicles will need redundancy when they’ll be using faster processors handling many LiDAR, cameras, sensors, etc. It was announced earlier that Xavier would be NVIDIA’s latest autonomous car brain.

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