Context-aware verification and validation framework for autonomous driving

  • Chen, Tsong (Chief Investigator)
  • Vu, Hai (Chief Investigator)
  • Liu, Huai (Chief Investigator)
  • Zheng, James (Primary Chief Investigator)
  • Zhou, Zhiquan (Chief Investigator)

Project: Research

Project Details


This project aims to address the reliability and safety issues of the emerging self-driving vehicles, by advancing the validation and verification of autonomous driving systems. This project expects to generate new knowledge in areas of software engineering, intelligent transport, and machine learning, through the multi-disciplinary research combining expertise from various fields. Major expected outcomes of this project are a family of new contextaware techniques to verify and validate complicated behaviours of autonomous driving. This should provide
significant benefits, such as high-quality autonomous driving systems and the improved safety and security of our society.
Short titleCAVV-AD
AcronymSUT led
Effective start/end date25/02/2124/02/24