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UID:pretalx-amfc2026-LQJB7C@modelica.simtek.cc
DTSTART;TZID=CST:20260921T092000
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DESCRIPTION:The report focuses on AI safety and R&D toolchains for intellig
 ent vehicles. Drawing on the team’s extensive research in the system saf
 ety of connected and autonomous vehicles (CAVs) and autonomous driving con
 trol\, it analyzes failure risks in AI perception and decision-making algo
 rithms\, as well as functional safety and data security challenges. It fur
 ther elaborates on a comprehensive safety protection framework tailored fo
 r full-scenario autonomous driving. Addressing key industry pain points\, 
 the report introduces an end-to-end R&D toolchain for intelligent driving\
 , covering simulation testing and electronic control development platforms
 \, while demonstrating their practical applications in algorithm verificat
 ion and safety assessment. Finally\, by integrating theoretical insights w
 ith engineering practice\, it explores iterative pathways for advancing AI
  safety technologies and outlines future directions for domestically devel
 oped tools\, offering actionable strategies to drive technological upgrade
 s and real-world deployment across the industry.
DTSTAMP:20261004T074016Z
LOCATION:Main hall (R1016)
SUMMARY:AI Safety and Development Tools for Autonomous Driving - Shichun Ya
 ng
URL:https://modelica.simtek.cc/amfc2026/talk/LQJB7C/
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