In this special two-part episode with guest Stefano Marzani, the WW Tech Lead for Software Defined Vehicles from AWS, we discuss the importance of cloud technology as applied to vehicles. In this Part 2, we discuss Prototyping, Machine Learning/AI, and ADAS/Autonomous Driving.
In, Part 1, published previously (LINK) we meet Stefano, learn about his important role at AWS and cover the first two topics: Data and Compute.
Links referenced in the show:
AWS Automotive homepage: www.aws.com/automotiveAWS All Things Automotive Podcast: https://aws.amazon.com/architecture/all-in-series/all-things-automotive/?all-in-livestream-cards.sort-by=item.additionalFields.sortDate&all-in-livestream-cards.sort-order=desc&awsf.products=*all&awsf.tech-category=*allAWS Case study with BMW https://aws.amazon.com/solutions/case-studies/bmw-group-case-study/00:00 - Overview00:40 - Topic 3: Prototyping in the cloud and “Environmental Parity”02:20 - Running on Arm in the cloud and the vehicle03:13 - Start software development in the cloud03:55 - Difficulty of validation for automotive04:49 - Empowering developers via the cloud05:18 - Vehicle software will triple in the next five years07:07 - “Shift left” to accelerate design cycles07:54 - $40-50 Billion lost to automotive recalls 08:51 - Developing vehicle HMI with the cloud10:57 - SDV can reduce cost of recalls11:43 - Consolidation of ECUs 12:22 - Consolidating software effectively without bloat13:45 - SOAFEE and standards for automotive15:31 - Topic 4: Machine Learning and Analytics16:45 - Data collection and annotation with SageMaker17:22 - Other frameworks for ML in AWS17:52 - In-vehicle validation of new models18:30 - Finding edge cases 19:20 - Tools to manage ML workflows 21:55 - Topic 5: ADAS and Autonomous Driving22:35 - Near-term benefits from ADAS25:00 - Seeking edge cases 25:30 - Decomposing autonomous driving27:30 - Collaboration between AWS and Sonatus 29:29 - Importance of using real ECUs 31:04 - Summary