Full Seminar Details

Dereck D Webster

Cranfield University

 Dereck D Webster
Investigation into Raindrop Detection and Removal for Improved Sensing in Automotive Computer Vision Applications
This event took place on Wednesday 18 December 2013 at 11:30

Automotive Computer Vision is becoming more mainstream as the hardware for such is becoming more accessible.  This is giving rise to implementations being added to such systems, of which most are indended to increase safety. Examples include Driver Drowsiness Detection, Headlamp detection, Speed limit notification and Predictive Emergency Braking.  Raindrops however can distort the image, drematically decreasing the accuracy of the information supplied to the driver.  Within the work carried out, we implement a current technique to detect raindrops through saliency and adapt the verification phase to improve accuracy of classification using various machine learning algothrims.  The preformance of these results are analysed to determine the best approach. We then investigate how raindrops degrade the results produced from a typical automotive computer vision task and if the technique of stereo infilling or impainting yeald better results.

Watch the webcast replay >>


Senior Research Fellow

Knowledge Media Institute (KMi)
£49,772 to £55,998
Based in Milton Keynes
Permanent position

The post is intended to strengthen the Open University’s Knowledge Media Institute (KMi) international research reputation and in particular we are interested in candidates who can pursue a robust and innovative research agenda in one or more of...


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team