JaylinYu
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).
Session
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.