Steve Miller

This chalk talk explores how AWS ProServe is building an advanced driver-assistance system (ADAS) data ingestion and transformation pipeline and frontend visualization solution to empower Toyota North America analysts to pinpoint areas where existing ADAS software can be improved. Discover how the solution ingests raw data from the vehicle, transforms it, and displays it on a dashboard.

In this chalk talk, dive deep into the architecture and machine learning techniques that Toyota Racing Development (TRD) uses to identify up-and-coming stock car racers and predict race outcomes. We discuss how to ingest and unify telemetry and timing data from various sources within a data warehouse and automate ETL and ML operations workflows.

In motorsports, one-tenth of a second can be the difference between first and sixth place—and millions in prize money. In this session, we provide two architectures that race teams use to automatically analyze images and video in real time to gain a competitive advantage.