How cybersecurity safe is your vehicle?
An overview of Xiaojie Lin’s completed PhD project, “Strengthening cybersecurity in vehicular networks”, plus expected outcomes and future work.
An overview of Xiaojie Lin’s completed PhD project, “Strengthening cybersecurity in vehicular networks”, plus expected outcomes and future work.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
The focus of this PhD project is the security technologies that would enable authorities to govern, protect, and regulate SAVs access to the public road network.
The objective of this PhD project is to analyse the relationship between telemetry and its impact on commercially sustainable transportation solutions/networks.
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.
This project will investigate AV/pedestrian interaction and AV/cyclist interaction to help introduce AVs to Australian roads safely and effectively.
This project will develop new highly efficient cybersecurity schemes to reverse engineer vehicular network communications.
Australian scientists have made a breakthrough in cooperative perception tests, showing that CAVs can now see hidden pedestrians, even through buildings.
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.
Addressing the critical need for new security schemes to be designed and implemented to protect our connected cars and transport systems.
This project investigates the standardisation of safety assurances that autonomous vehicles must satisfy, and how to verify these requirements.