This thesis describes the design and implementation of system for vehicle speed estimation from on-board camera recording. Speed estimation is based on optical flow estimation and convolutional neural network. Designed system is able to estimate speed with average error of 20% on created data set where actual speed is greater than 35 kilometers per hour.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:385901 |
| Date | January 2018 |
| Creators | Janíček, Kryštof |
| Contributors | Bartl, Vojtěch, Špaňhel, Jakub |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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