Sensor Fusion for Positioning Integrity in Safety-Critical Vehicular Applications
Depending on GPS/GNSS without the capability of validating its accuracy and validity can produce catastrophic consequences. Current techniques to validate GNSS/GPS-based positioning are limited and produces a large confidence interval which would be inadequate for vehicular applications where these intervals need to be within 10cm-1m based on Road Safety Australia's research. This project will adopt a multi-sensor approach and leverage on optimal filter techniques for network of vehicles to produce a much narrower confidence interval to satisfy such applications. The sensors involved will be high accuracy MEMS sensors and inter-vehicular ranging sensors.
Support for the research environment at UNSW is well defined within its current strategic plan. The research environment in ACSER is Australia’s strongest satellite navigation research group. Available to the researchers are two Spirent satellite simulators (GSS8000 and GSS6560), many receivers including three generations of our own Namuru receiver, many high-quality antennas, signal recording and replay equipment, and timer-counters for timing work which are all available to be used in this collaborative project. The student will work on this project with DATA61 which has produced high-accuracy inter-vehicle ranging modules and collaborate with RMIT Melbourne which has prolonged expertise in the field of sensor fusion.
This is currently an active area of research that intersects the sensor fusion community, GNSS community and the optimal filter community. Hence, this research work has the potential to produce high-ranking journal quality publications.