Welcome at the UQ in-road smart sensor research project.
The University of Queensland in-road smart sensor research project.
The University of Queensland (UQ) is one of Australia’s leading research and teaching institutions. We strive for excellence through the creation, preservation, transfer and application of knowledge. For more than a century, we have educated and worked with outstanding people to deliver knowledge leadership for a better world.
The research project aims to provide a smart sensor, deployable on all roads, as an enabler to safer and more efficient roads. This sensor forms part of a regulatory compliance infrastructure to detect "detection avoiders" on our roads. Research indicates that these "detection avoiders" plays a part in reduced road safety, traffic congestion, crime and terror.
The positive vehicle identification infrastructure aims to detect, for immediate intervention:
- a vehicle and its fingerprint,
- vehicle identity and vehicle identity anomalies,
- vehicle fitness anomalies, and
- driver behaviour anomalies.
The wider project utilises machine learning, convergence of technologies, Internet of Things and public key cryptography to achieve anomaly detection, digital evidence and Chains of Accountability.
To date the project has successfully compacted the gantry based RFID reader system into an in-road smart sensor. Research and measurements indicate a higher read quality and better immunity against radio noise and multi-path RF interference when comparing an "in-road | plate-tag" system with an "overhead | windscreen-tag" system. The in-road smart sensor also contains a robust radar element to detect vehicles without tags.
Current research is focussed on:
- The refinement of the radar capability.
- The inclusion of public key technology (digital signatures) in the RFID read profile to enable offline verification of tag data.
- The development of a self-learning driver behaviour image detector. The research is pushing the image detection boundaries of standard CCTV traffic cameras.
- The development of an IoT based smart road data architecture dedicated to the enablement of immediate intervention after anomaly detection and confirmation.
Future research will add vibration, shock and gas sensors for vehicle profiling, fitness and pollution detection.
The project is establishing a sandbox infrastructure for collaborative research and development. UQ welcomes participation in this sandbox and the project.
Contacts: Prof Amin Abbosh - email@example.com, Dr Konstanty Bialkowski - firstname.lastname@example.org
Brands: The University of Queensland (UQ) is one of Australia’s leading research and teaching institutions. We strive for excellence through the creation, preservation, transfer and application of knowledge.