SYSTEMS AND METHODS FOR SAFE AND RELIABLE AUTONOMOUS VEHICLES

• Main Authors: SRINIVASAN ASHOK, GANAPATHI RAM, PERRIN DANIEL, MATHIESON JOHN, NISTER DAVID, CHAN T. Y, FLORY KEVIN, HETTENA DAN, YOUSUF MOHAMMED A, FARABET CLEMENT, DITTY MIKE A, SWEEDLER JONATHAN, GREB KARL, TRUOG MIKE, HICOK GARY
• Format: Patent
• Language: Chinese; English
• Published: 25.08.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROLLING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; REGULATING; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES

Autonomous driving is one of the world's most challenging computational problems. Very large amounts of data from cameras, RADARs, LIDARs, and HD-Maps must be processed to generate commands to controlthe car safely and comfortably in real-time. This challenging task requires a dedicated supercomputer that is energy-efficient and low-power, complex high-performance software, and breakthroughs in deep learning Al algorithms. To meet this task, the present technology provides advanced systems and methods that facilitate autonomous driving functionality, including a platform for autonomous driving Levels 3, 4, and/or 5. In preferred embodiments, the technology provides an end-to-end platform with a flexible architecture, including an architecture for autonomous vehicles that leverages computer vision and known ADAS techniques, providing diversity and redundancy, and meeting functional safety standards. The technology provides for a faster, more reliable, safer, energy-efficient and space-efficient System-on-a-Chi