Meeting of the ITU Focus Group on AI for Autonomous and Assisted Driving
The FG-AI4AD supports standardization activities for services and applications enabled by AI systems in autonomous and assisted driving in accordance with the 1949 and 1968 Convention on Road Traffic. The work of this FG links closely with the UNECE Global Forum for Road Safety (e.g. WP1, WP29, GRVA) and progress will be shared with these committees. The FG aims to establish a universal minimal performance threshold for AI enabled driving functions (such as AI as a Driver), which is essential to building the global public trust required for widespread deployment of AI on our roads.
Speakers, Panelists and Moderators
BRYN BALCOMBEFounder; Director & CSO, RoboraceAutonomous Drivers Alliance (ADA)Bryn Balcombe is a Founder of the Autonomous Drivers Alliance (ADA) and the Chief Strategy Officer for Roborace, a motorsport competition for human and AI drivers, designed to accelerate the research and development of Vehicle Intelligence and human machine interfaces required for transportation of the future. His previous experience comes from Formula One where he architected and patented vehicle to infrastructure communication systems and developed the F1 Group’s first global media network. He has also consulted on technology strategy for organisations including the BBC and McCann Worldgroup and has a BEng in Mechanical Engineering & Vehicle Design. Balcombe is the chairman of ITU-T Focus Group on AI for Autonomous and Assisted Driving (FG-AI4AD).
YUAN ZHANGDirector, Machine Vision Standardization and StrategyChina TelecomMs. Yuan Zhang is the Rapporteur of ITU-T Q12/16, focusing on standardization on video perception and intelligent analysis. Yuan is the co-chair of MPEG AhG VCM, focusing on video coding for machine vision and hybrid human and machine vision. Yuan is an expert in machine vision standardization and strategy department, China Telecom research institute, responsible for R&D, standards, products of machine vision. She is active in various standards fields and SDOs, including machine vision, VCM, AI, autonomous driving, video perception, video analysis, etc.