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Traffic and Road Safety (TARS) Research Group
Project index
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Driver Perception & Attention
Visual navigation and eye movements
Funded by Royal Society of New Zealand Marsden Fund |
As we drive and navigate in our cars, we are constantly making eye movements. This is how we gain important information about the road ahead and detect any upcoming hazards.
When we move our eyes we make the image motion on the back of our eyes more complex. How does our visual system discount the motion created by our eye movements? This is an age-old question that has never been fully answered.
In this project we are using a combination of computer modelling techniques and human psychophysical experiments to address this question. So far we have:
- Developed computer models of visual navigation and motion processing in the human brain.
- Developed a theory of eye movement cancellation in humans.
Future research will test these models using video sequences obtained during a variety of driving conditions. This will enable us to gain insights into a range of driving problems such as the errors that occur during curve negotiation and speed misperception. We are also developing visual sensors based on these models for use in autonomous vehicles.
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Perrone, J.A. & Krauzlis, R.J. (2008). Spatial integration by MT pattern neurons: A closer look at pattern-to-component effects and the role of speed tuning. The Journal of Vision 8:1 1-14.
Perrone, J.A. & Krauzlis, R.J., (in Press). Vector subtraction using visual and extraretinal motion signals: A new look at efference copy and corollary discharge theories. The Journal of Vision.
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