AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?
Machine Learning Blog
This article details the author's experience and strategy with AWS DeepRacer at AWS re:Invent 2024, focusing on physical racing challenges and preparation.
- Key strategy involved creating a model that: • Goes straight precisely • Avoids going off-track • Ignores visual track noise
- Implementation approaches included: • Using Ackermann steering geometry • Incorporating stabilizing steering angles • Training models in diverse, noisy environments • Testing models on various tracks
- Race results: Placed 14th with a best average lap time of 10.072 seconds
- Key challenges: • Realistic car handling at different speeds • Turning radius limitations • Reaction time issues
Despite being the last official DeepRacer Championship, the community remains enthusiastic about physical racing and is exploring new initiatives to make DeepRacer more accessible.
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