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Steps Towards Improvements of Computer Vision Methods for Traffic Analysis
Špaňhel, Jakub ; Sablatnig, Robert (oponent) ; Šikudová, Elena (oponent) ; Herout, Adam (vedoucí práce)
The rapid urbanization and increasing number of vehicles on the roads have stretched traditional traffic management systems to their limits. Intelligent Transportation Systems (ITS) offer a solution, utilizing advanced technologies to enhance traffic flow and safety. The robustness of computer vision methods within ITS, essential for traffic analysis, remains a crucial area for improvement. This thesis substantially contributes to this field, specifically focusing on Vehicle Fine-Grained Recognition, Vehicle Re-Identification, License Plate Recognition, and Monocular Vehicle Speed Measurement. Several new datasets, highly appreciated by the research community, were introduced, enhancing the evaluation and exploration within each domain mentioned earlier. The main contributions can be summarized as follows: Novel method for aggregation of visual features for vehicle re-identification & dataset. Innovative approach to license plate recognition using alignment of the license plate and holistic recognition & three published datasets. Novel augmentation techniques for vehicle fine-grained recognition & extension of previously published dataset. The biggest dataset for vehicle speed measurement & baseline evaluation with state-of-the-art methods. The key findings of this work demonstrate a significant enhancement in the accuracy, efficiency, and robustness of computer vision methods applied to traffic analysis. This research's contributions have been recognized at top conferences and journals in ITS, setting new standards for future work. By advancing the current state of ITS and contributing valuable resources for ongoing research, this thesis represents a step towards more sustainable and efficient intelligent transportation systems.
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Vehicle Speed Measurement Using Stereo Camera Pair
Najman, Pavel ; Sojka, Eduard (oponent) ; Guillemaut, Jean-Yves (oponent) ; Zemčík, Pavel (vedoucí práce)
This thesis aims to answer the question whether it is currently possible to autonomously measure the speed of vehicles using a stereoscopic method with the average error within 1 km/h, the maximum error within 3 km/h, and the standard deviation within 1 km/h. The error ranges are based on the requirements of the OIML whose Recommendations serve as templates for metrological legislations of many countries. To answer this question, a~hypothesis is formulated and tested. A method that utilizes a stereo camera pair for vehicle speed measurement is proposed and experimentally evaluated. The experiments show that the technique overcomes state-of-the-art results with the mean error of approximately 0.05 km/h, the standard deviation of less than 0.20 km/h, and the maximum absolute error of less than 0.75 km/h. The results are within the required ranges, and therefore the formulated hypothesis holds.
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Měření rychlosti automobilů stacionární kamerou
Juřica, Tomáš ; Špaňhel, Jakub (oponent) ; Herout, Adam (vedoucí práce)
Tato bakalářská práce pojednává o problematice měření rychlosti automobilů z videozáznamu pořízeného staticky umístěnou videokamerou s výhledem na silnici. Popsána je tvorba nástroje s cílem dosáhnutí maximální přesnosti měření s minimálním uživatelským vstupem a časem měření jednoho objektu. Pojem o rozměrech scény systém získává na základě známých bodů ve scéně, jež jsou nástrojem manuálně vyznačeny. Dále je popsán vliv způsobu anotování průjezdů vozidel a kvality vstupního souboru na maximálně možnou dosažitelnou přesnost měření.
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Vehicle Speed Measurement Using Stereo Camera Pair
Najman, Pavel ; Sojka, Eduard (oponent) ; Guillemaut, Jean-Yves (oponent) ; Zemčík, Pavel (vedoucí práce)
This thesis aims to answer the question whether it is currently possible to autonomously measure the speed of vehicles using a stereoscopic method with the average error within 1 km/h, the maximum error within 3 km/h, and the standard deviation within 1 km/h. The error ranges are based on the requirements of the OIML whose Recommendations serve as templates for metrological legislations of many countries. To answer this question, a~hypothesis is formulated and tested. A method that utilizes a stereo camera pair for vehicle speed measurement is proposed and experimentally evaluated. The experiments show that the technique overcomes state-of-the-art results with the mean error of approximately 0.05 km/h, the standard deviation of less than 0.20 km/h, and the maximum absolute error of less than 0.75 km/h. The results are within the required ranges, and therefore the formulated hypothesis holds.
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Měření rychlosti automobilů stacionární kamerou
Juřica, Tomáš ; Špaňhel, Jakub (oponent) ; Herout, Adam (vedoucí práce)
Tato bakalářská práce pojednává o problematice měření rychlosti automobilů z videozáznamu pořízeného staticky umístěnou videokamerou s výhledem na silnici. Popsána je tvorba nástroje s cílem dosáhnutí maximální přesnosti měření s minimálním uživatelským vstupem a časem měření jednoho objektu. Pojem o rozměrech scény systém získává na základě známých bodů ve scéně, jež jsou nástrojem manuálně vyznačeny. Dále je popsán vliv způsobu anotování průjezdů vozidel a kvality vstupního souboru na maximálně možnou dosažitelnou přesnost měření.
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