2026 VTS Tech Talk: Scalable Data Exchange Between Autonomous Vehicle Fleets and Cloud Infrastructure
Autonomous vehicle fleets generate massive volumes of sensor and operational data that must be reliably transferred to cloud infrastructure to support development, validation, and production operations. Designing scalable data exchange mechanisms is challenging due to the large number of vehicles involved, changing network conditions, and different requirements on data volume, latency, and reliability.
This talk presents a system-level view of data exchange between autonomous vehicle fleets and cloud infrastructure. It explains how different data transfer approaches such as physical media, high-speed wired connections, and cellular networks are used together to support large-scale fleet operations. The talk also describes how data handling can be adapted per vehicle based on its role and operating mode, enabling large-volume data uploads, timely reporting of safety-critical events, and continuous fleet health monitoring within a unified system. Key challenges related to reliability, security, and scaling are discussed, along with practical lessons learned from operating real-world autonomous driving systems.
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- Starts 15 December 2025 08:00 AM UTC
- Ends 06 February 2026 08:00 AM UTC
- No Admission Charge
Speakers
Zhaohan
2026 VTS Tech Talk: Scalable Data Exchange Between Autonomous Vehicle Fleets and Cloud Infrastructure
Biography:
Zhaohan Jia is a Senior Software Engineer specializing in large-scale systems and cloud infrastructure for autonomous driving. He currently works at Helm.ai, where he designs and operates secure and scalable platforms that support vehicle data ingestion, AI and machine learning model training, and production fleet operations. Previously, he served as a Tech Lead at TuSimple, contributing to end-to-end infrastructure for autonomous vehicle development and deployment, including vehicle to cloud data pipelines, fleet monitoring systems, and large-scale testing environments. His work spans data exchange, system reliability, and operational scalability for autonomous driving fleets.
Zhaohan holds a Master’s degree in Computer Science from Rice University, USA and a Master’s degree in Information and Communications Technology from the University of Agder, Norway. He holds a U.S. patent related to autonomous vehicle power management.
Address:California, United States
Agenda
6:00-6:50pm Lecture
6:50-7:00pm Q&A