Artificial Intelligence and Autonomous Vehicles

  • Magazine Article
  • TBMG-35360
Published October 01, 2019 by Tech Briefs Media Group in United States
Language:
  • English

The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise. Helping to drive this trend is the availability of a new class of embedded AI processors. A good example is NVIDIA’s Jetson family, which includes small form factor system on modules (SoMs) that provide GPU-accelerated parallel processing. These high-performance, low-power devices are designed to support the deep learning and computer vision capabilities needed to build software-defined autonomous machines. They derive massive computing capabilities from the use of a parallel processing GPU device with many cores, enabling next-gen computing devices to take on many of the tasks that were historically handled by humans or multiple, traditional computers.