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{{title|Autonomous Driving Chip}} | {{title|Autonomous Driving Chip}} | ||
− | An '''autonomous driving chip''' is a special [[system-on-a-chip]] designed specifically to interpret and recognize, in real-time, traffic-control devices in order to either assist a driver with control of the vehicle or in order to partially or fully automate all aspects of the dynamic driving task | + | An '''autonomous driving chip''' is a special [[system-on-a-chip]] designed specifically to interpret and recognize, in real-time, traffic-control devices in order to either assist a driver with control of the vehicle or in order to partially or fully automate all aspects of the dynamic driving task. |
== Overview == | == Overview == | ||
− | An autonomous driving chip is an SoC that has been specifically designed for partial or full automation of all aspect of the driving task. Those chips are typically designed to intake a large number of sensory inputs such as visual cameras, lidar, radar, ultrasonic, and [[inertial measurement unit|IMUs]]. The data is then processed and a control plan is generated for the car to act on. Autonomous driving chips typically incorporate a high-throughput sensory input interface, a large number of [[cores]] for [[general purpose processing]], [[neural processing unit]]s for efficient processing of [[artificial neural networks]], a GPU for various post-processing operations, a computer vision processor for sensor processing, and various other hardware accelerators. | + | An autonomous driving chip is an SoC that has been specifically designed for partial or full automation of all aspect of the driving task. Those chips are typically designed to intake a large number of sensory inputs such as visual cameras, lidar, radar, ultrasonic, and [[inertial measurement unit]|IMUs]]. The data is then processed and a control plan is generated for the car to act on. Autonomous driving chips typically incorporate a high-throughput sensory input interface, a large number of [[cores]] for [[general purpose processing]], [[neural processing unit]]s for efficient processing of [[artificial neural networks]], a GPU for various post-processing operations, a computer vision processor for sensor processing, and various other hardware accelerators. |
=== Safety === | === Safety === |