Thesis Topic Details

Topic ID:
767
Title:
Multi-sensor Data Fusion for Real Time Traffic Monitoring
Supervisor:
Jian Zhang
Research Area:
Artificial Intelligence
Associated Staff
Assessor:
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
No
Pre-requisites:
Advanced programming skill in C++ and Java
Description:
Sensor data fusion is to combine data derived from disparate sources. Such resulting information is expected to have more rich background signals from different "angles" which in some sense is better than would be possible when the information source were used individually. For real time traffic monitoring, it is expected to have a set of sensors such as video camera, radar, intra-red cameras, optical cameras and leaser signal sensors to capture traffic information in different signal formats and provide multi-signal dimensions to achieve traffic event detection and analysis. The data fusion is based on the signal sampling from multi-sensors and algorithm development in the domain of statistic signal processing such as Kalman filter and Bayesian Networks.

The knowledge you learned from the computer and engineering courses, such as advanced math, signal processing, and statistics theory will gain plenty practice from this project. Your programming skills will also be developed as you will develop a demo in software for data capturing from the different sensors and simple fusion algorithm implementation.
Comments:
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