Accelerate autonomous vehicle development
summary
Capgemini’s DASV on AWS claims to cut time to data by moving from a five‑day upload delay to near real‑time streaming using AWS Wavelength, Snowball, Outposts, S3 and EKS; a Mini Logger device streams encrypted telemetry while Ranger (AppSync) enables live, synchronized annotation and Trackster organizes test drives. The stack uses SageMaker Ground Truth, IoT Core and Amazon RDS, runs in 60+ countries with 4+ million km collected, and the live demo shows anonymized video, lidar and bounding‑box confidence scores working end‑to‑end.
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chapters (19)
- 0:00Introduction and speakers
- 1:12The autonomous driving challenge
- 3:04Capgemini and AWS partnership
- 4:29The data explosion problem
- 6:10ADAS market trends and levels
- 8:13The future of autonomous driving
- 10:53DASV solution benefits
- 12:51Sustainability and operations
- 15:04Technical workflow and AWS
- 18:04AWS services for AV development
- 19:07DASV solution overview
- 20:39Key benefits of DASV
- 22:44Scenario simulation and testing
- 23:56DASV reference architecture
- 25:36Core DASV components
- 27:07Live demo of DASV solution
- 32:13Ranger tool functionality
- 34:05Trexter data visualization
- 37:00Conclusion and Q&A
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