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youtube_video_url amazon_s3_presentation_url amazon_s3_video_url categories description image session_attendee_num session_id session_room session_slot session_speakers session_track tag tags title
san19
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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/assets/images/featured-images/san19/SAN19-512.png
47
SAN19-512
Sunset V (Session 1)
end_time start_time
2019-09-27 11:25:00
2019-09-27 11:00:00
speaker_bio speaker_company speaker_image speaker_location speaker_name speaker_position speaker_url speaker_username
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
/assets/images/speakers/san19/liyou-zhou.jpg
Cambridge UK
LIYOU ZHOU
Senior Software Engineer - Automotive
liyou.zhou
Autonomous Vehicles
session
Autonomous Vehicles
Automotive
Machine Learning/AI
SAN19-512 - "Driving" innovation on Arm: lessons learned porting open-source autonomous driving stack
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