Overview
Topic status: We're looking for students to study this topic.
This is a six month project. The project will be located at the Centre for Accident Research and Road Safety, on our Kelvin Grove campus.Cooperative Systems are the area of Intelligent Transportation Systems (ITS) that aim at using wireless communications to create an integrated network between vehicles and the roadside infrastructure, which can then be used for numerous purposes ranging from safety to entertainment. Collision prevention is one of the driving application in ITS; and it should take full benefit of the information sharing capacity introduced by wireless communications.
Currently commercially available in-vehicle collision prevention technologies use local sensors to record the vehicle's environment and detect an impending collision. These could strongly benefit from the integration of data forwarded from remote sources via wireless communication: a vehicle's perceptive horizon can be extended way further the reach of in-vehicles sensors or the driver's senses.
This project will be integrated in our ongoing research on the development of a reliable, all-purpose extended perception system. Data from all types of sensors (GPS, laserscanner, radar, etc.) and event-driven messages are shared to create an extended map with the most complete representation of the driving environment. This project will involve developing a collision prevention application using data from our extended perception system, in order to demonstrate its interest compared to other, simpler, extended perception system.
Existing collision prevention application will be compared and implemented in order to determine which is the most efficient in our context. Improvements to these methods, taking full advantage of our system's innovative features, will then be suggested and implemented. Real data recorded during on-tracks experiments, and processed through the extended perception system, will be made available for this project. This project is expected to produce a journal publication.
Experience with C/C++ is required.
- Study level
- Honours
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
- Please contact the supervisor.
Professor Yanming Feng
Professor Andry Rakotonirainy
