Kalray shows off AI for self-driving cars using Baidu’s Apollo platform

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Kalray, a leading processor for intelligent systems, recently announced they will be showing off their new artificial intelligence and Acceleration of Perception abilities during the AutoSens 2018 conference in Brussels. Kalray will be showing off the abilities of their Massively Parallel Processor Array architecture that uses Baidu's Apollo open software platform for self-driving cars.

Today’s autonomous vehicle prototypes are typically equipped with 50-100 sensors, including technologies like GPS/INS, radar, lidar and a multitude of cameras that provide discreet elements of the data needed to help the vehicle “see” its location relative to other objects. These sensors identify things like GPS location, lane markings, road signs, pedestrians, other vehicles, and much more.

Arguably the most difficult challenge for the autonomous vehicle industry is to process the massive streams generated by these dozens of standalone sensors, analyze the data in real time, and intelligently unify the information so that the vehicle accurately “perceives” and understands its complete 360-degree environment. Kalray’s manycore MPPA® intelligent processor architecture has been designed from the ground up to meet this industry challenge, executing complex neural network applications at many trillions of processes per second to achieve the Acceleration of Perception for self-driving vehicles.

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