Autonomous vehicles, robotics, augmented and virtual reality all require simultaneous localization and mapping (SLAM) to build a map of the surroundings. Combining SLAM with a neural network engine adds intelligence, allowing the system to identify objects and make decisions. In this demo, Synopsys ARC EV processor’s vision engine (VPU) accelerates KudanSLAM algorithms by up to 40% while running object detection on its CNN engine.

Learn more about Synopsys: [ Ссылка ]
Subscribe: [ Ссылка ]
Follow Synopsys on Twitter: [ Ссылка ]
Like Synopsys on Facebook: [ Ссылка ]
Follow Synopsys on LinkedIn: [ Ссылка ]

свернуть