2026-08-09 –, TR412-2
For OSS to fulfill its potential in Automotive, the industry must learn from past mistakes and successes, then chart a more strategic course forward. The author brings experience of applying OSS to real-world vehicles from 3 OEM projects, including V2X IoT infotainment system and data-closed loop platform across vehicle and cloud.
In this talk, the author shares lessons learned from the painful deployment process of the open-source SDV projects. It starts from a practical experience of in-vehicle performance tuning, to process signals of the whole vehicle (> 10,000) while only consuming below 2K DMIPS. It also unveils the methodologies for trigger-to-upload and transmission prioritization, ensuring guaranteed safety-related data delivery in remote diagnostic services, even under poor network conditions. This also covers topics of CI/CD of OSS in mission-critical scenarios, by showcasing a story of building an in-vehicle real-time tracing feature for log and network packets. It serves as a workflow tool for better collaboration with other vendors, to escape from the blame game.
The session also gives an example of leveraging fuzzing technology to actively prevent intrusion.
Jaylin Yu graduated from CUHK, and previously worked as a Data analyst at UN ESCAP. holds several papers and patents on edge computing & networking. He has devoted himself to IoT, SDV and edge computing for more than ten years as a geek and has rich experience in the collaborative development of software and hardware integration in production. Now he is the Solution VP and initiator of the NanoMQ project in EMQ, a long-standing contributor to the open-source community (OASIS, LF, Eclipse, ES).