View Item 

Vehicle Combustion Quality Monitoring:A scene visibility-level based non-invasive approach

Access Status
Open access
Authors
Khan, Masood Mehmood
Date
2010
Type
Conference Paper

Metadata
Show full item record
Citation
Khan, Masood Mehmood. 2010. Vehicle Combustion Quality Monitoring: A scene visibility-level based non-invasive approach, in Wen, C. (ed), 11th IEEE International Conference on Control, Automation and Vision (ICACV 2010), Dec 7 2010. Singapore: IEEE Computer Society.
Source Title
Proceedings of the 11th IEEE International Conference on Control, Automation and Vision
Source Conference
11th IEEE International Conference on Control, Automation and Vision (ICACV 2010)
ISBN
Faculty
School of Engineering
Faculty of Science and Engineering
Department of Mechanical Engineering
Remarks

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection
Abstract

Pollutants interfere with light, restrict its reflection and so impair visibility. Scene visibility level is therefore used as a measure of air quality and pollution. Treating emission efflux as "some additional noise causing visibility impairment," this work examines if the extracted visibility index from a thermal infrared (TIR) image can help in qualitative assessment of combustion efficiency. The thin-film regime like two dimensional TIR images of unleaded-petroleum run vehicles' exhaust-plumes were first accommodated for time and space related compositional effects. The estimated ratios of visibility indices obtained from two sequential TIR images of the same exhaust plume were compared with their respective electrochemically sensed levels of oxides of nitrogen and combustibles. Initial results suggest that visibility indices extracted from TIR images of emission efflux would help in distinguishing low from high levels of emissions. TIR images can therefore assist in qualitative assessment of engine combustion efficiency.