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As Autonomous Driving (AD) technologies roll out from development to deployment, vendors are demanding production-ready embedded solutions. Arm IP becomes a natural choice, combining high performance general-purpose compute with custom workload-specific acceleration in a reduced power envelope. However, porting existing AD software stacks to another platform is not without pitfalls. In this presentation, we discuss the challenges faced – with emphasis on hardware acceleration of neural networks – porting the open-source Autoware AD stack to an Arm-based system.
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Sunset V (Session 1)
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2019-09-27 11:25:00
2019-09-27 11:00:00
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Liyou is a software engineer working on Accelerating open-source self-driving software stack with Arm hardware and software IP.<br /> <br /> Liyou has previously worked in IoT developing end to end secure firmware update solution.<br /> <br /> Liyou is also active in the developer community, presented at mbed Connect and organised hackathons at the University of Cambridge.
Arm Ltd
Cambridge UK
Senior Software Engineer - Automotive
Autonomous Vehicles
Autonomous Vehicles
Machine Learning/AI
SAN19-512 - "Driving" innovation on Arm: lessons learned porting open-source autonomous driving stack
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