Assistance Driving System Analysis And Processing Laser Pointer

Through the interaction of three main components, S3 can generate 500,000 data points per second. Because the laser pointer can scan every corner of the perimeter, it can create a vivid 3D perspective to help vehicles detect, classify, and track objects in the scene. Released a new automatic car system equipped with a chip. The chip is composed of an 8-core ARM64-bit CPU and a 512-core Volta architecture GPU. It has a deep learning capability of 30TOPS, but the power consumption is only 30W.

The core of autonomous driving is deep learning. Unmanned driving requires cars to achieve artificial intelligence in every aspect-to sense the environment, reasonably determine the state of the environment, and then plan the best course of action. The entire process requires complex and huge calculations, so the requirements for on-board computers are very high. In response to this demand, the development of on-board supercomputing, using the chip’s DRIVE PX 2, is bound to become the main force of future autonomous driving.

It also released a driver assistance system, which is a set of deep neural networks that assist the driver with laser pointer. It can manage sensors outside the car, and at the same time read the driver ’s lip and eyes based on the driver ’s voice, actions, and Complete the function of assisting driving. In other words, with this set of deep neural networks, the driver can be integrated with the car. The driver’s voice, body language, and subtle changes in the five senses can be fed back to the on-board supercomputer for analysis , And finally achieve collaborative driving.