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Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel
GOTO - Today, Tomorrow and the Future
English - November 11, 2022 10:00 - 42 minutes - 29.5 MBTechnology software software engineering software development programming tech technology programming languages software architecture coding agile Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
This interview was recorded for GOTO Unscripted.
gotopia.tech
Read the full transcription of this interview here
Oscar Beijbom - Co-Founder at Nyckel
Prayson Daniel - Principal Data Scientist at NTT DATA
DESCRIPTION
Self-driving vehicles have been a hot topic for a while now and everyone is waiting for the next breakthrough. Prayson Daniel, principal data scientist at NTT DATA, and Oscar Beijbom, co-founder at Nyckel, stuck their heads together to review what type of machine learning data is needed to run an autonomous vehicle. Furthermore, they talked about topics such as security, language choices and when the time of deploying a model has come.
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