Data Collection and IoT for Vehicles in Practice
summary
Claims a production fleet of more than 10 million cars using OSGi on a real-time Java VM with the Real-Time Specification for Java to get deterministic GC, ahead-of-time linking, and real-time scheduling. Demonstrates on-ECU modules that do conditional delivery, signal synthesis and compact format conversion, secure vehicle-initiated OTA with signed artifacts, staged deployments, role-based campaign control, and cloud tools for editable data-acquisition plans — a deployed system with low in-field failure rates.
AI-written summary · about
chapters (12)
- 0:00Vehicle data collection intro
- 1:11OSGi and real-time Java
- 4:27Traditional Java challenges
- 6:12Real-time Java spec
- 9:21Key vehicle data aspects
- 13:34Cloud data acquisition plan
- 16:21IoT business roles
- 19:33Vehicle self-awareness
- 20:37IoT data privacy
- 21:21Data privacy challenges
- 22:50Simulated data testing
- 24:19Closing & Q&A
related talks
01h 15mIoT Realized - The Connected Car v2
34mAutomotive meets IoT: innovating your future vehicle
01h 09mIoT Realized - The Connected Car
11mBuilding the Software-Defined Vehicle
19mDriving Automotive with Open Source: From Compliance to Collaboration
28mAutomotive Cloud Development Paradigms - Diving into Connecting IoT...
46mSDV-Oriented Use Cases Leveraging Next-Generation Vehicle Diagnostics(SOVD) and Vir...
43mBuilding connected vehicle and mobility platforms with
