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Bc. Dominik Klement

Bachelor's thesis

Classification of Passersby Using Single-point LiDAR Sensor and Machine Learning

Classification of Passersby Using Single-point LiDAR Sensor and Machine Learning
Abstract:
Európske krajiny neustále zlepšujú verejnú dopravu rôznymi spôsobmi, pričom jeden z nich je znižovanie počtu áut na cestách pomocou verejnej dopravy a poskytovania zdieľaných dopravných prostriedkov. Mestá však potrebujú dáta z dopravy na to, aby mohli vybudovať novú alebo zlepšiť už existujúcu infraštruktúru. Momentálne existuje viacero zariadení pre počítanie účastníkov cestnej dopravy. Avšak, tieto …more
Abstract:
European countries have been improving public transportation in many ways, one of which is reducing the number of cars on roads by utilizing public transport and providing micro-mobility vehicle sharing. However, cities need traffic data to build a new road infrastructure and enhance the existing one. Multiple traffic counting devices exist. Nonetheless, they either need an external power source, cannot …more
 

Keywords

machine learning deep learning neural networks time series LiDAR passersby counting traffic counting embedded devices tinyml
 
Language used: English
Date on which the thesis was submitted / produced: 19. 5. 2022
Identifier: https://is.muni.cz/th/iex85/

Thesis defence

  • Date of defence: 28. 6. 2022
  • Supervisor: doc. RNDr. Tomáš Brázdil, Ph.D.
  • Reader: RNDr. Jaroslav Čechák

Citation record

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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