Master's thesis in Cybernetics and signal processingThis master thesis focus on traffic monitoring, which are of importance
to fulfill planning and traffic management of road networks.
An important requirement is data interpretation accuracy to provide adequate
characteristic data from the acquired vision-data. A vision-based system has been
developed, using new methods and technologies to achieve an automated traffic
monitoring system, without the use of additional sensors.
The thesis is based upon Erik Sudland’s master thesis from 2016, which investigated
available litterateur containing adequate algorithms for traffic monitoring.
However in the current master thesis, methods have been further analyzed and
experimentally optimized on vision-data from real traffic situations. In addition, a
new classification method based upon neural networks has been implemented and
verified with successful result
