Project detail

Autonomous system for detecting dangerous traffic situations based on image sequence analysis

Duration: 01.07.2019 — 30.06.2022

Funding resources

Ministerstvo průmyslu a obchodu ČR - TRIO

- whole funder (2019-08-26 - 2022-06-30)

On the project

Autonomous system for detecting dangerous trafic situations based on image sequence analysis

Description in English
The main goal of the project is the research and development of a modern autonomous system for the detection of the dangerous traffic situations. The proposed system takes advantage of a camera module that detects vehicle trajectories and based on the knowledge it evaluates dangerous situations in real time. If a dangerous situation occurs, the system forwards the information for the further processing. The processing is based on adaptation of the variable traffic sign and may also include procedures for possible driver punishment. The important part of the proposed system will be the statistical evaluation of the traffic load including e.g. the number of intersection crossings in the individual directions, the average speed at intersection in a particular time horizon, the frequency of vehicle categories according to regular expressions and others. The system will also allow local environmental monitoring by measuring physical quantities (temperature, humidity, air quality, etc.). The partial goal is research and development of advanced software that detects traffic violations and processes statistical data from the traffic section. Modern cryptographic methods will be used to secure data transfers. The aim is to ensure a high level of system security according to the latest recommendations to provide protection against cyber attacks. The system is in line with the objectives of intelligent specialization Vehicles for 21st Century: Automotive by maintaining road safety and improving the processes and services for intelligent transport systems. Developed methods for advanced image processing and secure telematics and secure data collection can be further implemented in other technologies such as Smart Cities, Industry 4.0 and Smart Society.

Keywords
Aplikovaná kryptografie; detekce přestupků; inteligentní dopravní systém; kyberbezpečnost; monitorování dat; telematika; zpracování obrazu

Key words in English
Applied Cryptography- Detection of Danger Situations- Intelligent Transport System- Cyber ​​Security- Data Monitoring- Telematics- Image Processing

Mark

FV40372

Default language

Czech

People responsible

Malina Lukáš, doc. Ing., Ph.D. - fellow researcher
Martinásek Zdeněk, doc. Ing., Ph.D. - fellow researcher
Přinosil Jiří, Ing., Ph.D. - fellow researcher
Říha Kamil, doc. Ing., Ph.D. - principal person responsible

Units

Department of Telecommunications
- beneficiary (2018-10-18 - not assigned)

Results

BACHOREC, J. WEB APPLICATION FOR THE DETECTION SYSTEM OF RISK SITUATIONS AT THE RAILWAY CROSSING. In Proceedings II of the 27th Conference STUDENT EEICT 2021Selected papers. 1. Brno: Brno University of Technology; The Faculty of Electrical Engineering and Communication, 2021. p. 57-60. ISBN: 978-80-214-5943-4.
Detail

YADAV, S.; JOSHI, R.; DUTTA, M.; KIAC, M.; SIKORA, P. Fusion of Object Recognition and Obstacle Detection approach for Assisting Visually Challenged Person. In Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 537-540. ISBN: 978-1-7281-6376-5.
Detail

SIKORA, P.; MALINA, L.; KIAC, M.; MARTINÁSEK, Z.; ŘÍHA, K.; PŘINOSIL, J.; JIŘÍK, L.; SRIVASTAVA, G. Artificial Intelligence-based Surveillance System for Railway Crossing Traffic. IEEE SENSORS JOURNAL, 2020, vol. 0, no. 2020, p. 15515-15526. ISSN: 1530-437X.
Detail

SIKORA, P.; KIAC, M.; DUTTA, M. Classification of railway level crossing barrier and light signalling system using YOLOv3. In Proceedings of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 528-532. ISBN: 978-1-7281-6376-5.
Detail

JIŘÍK, L.; ŘÍHA, K.; MARTINÁSEK, Z.; LANDSFELD, V.; SIKORA, P.; KIAC, M.; ŠTAUD, S.; AŽD Praha s.r.o., Žirovnická 3146/2, 106 00 Praha 10, Záběhlice, Česká republika: Zařízení pro detekci. 36125, užitný vzor. (2022)
Detail

SIKORA, P.; KIAC, M.; JIŘÍK, L.; MARTINÁSEK, Z.; ŘÍHA, K.; LANDSFELD, V.: Automatické zpracování rizikových situací v dopravě; Automatické zpracování rizikových situací v dopravě. Ústav telekomunikací FEKT, Vysoké učení technické v Brně, Technická 12, 616 00 Brno, místnost SD5.66. URL: https://www.azd.cz/cs/produkty. (software)
Detail

KIAC, M.; SIKORA, P.; JIŘÍK, L.; MARTINÁSEK, Z.; ŘÍHA, K.; LANDSFELD, V.: Autonomní systém pro detekci rizikových situací v dopravě s využitím znalosti trajektorie; Autonomní systém pro detekci rizikových situací v dopravě s využitím znalosti trajektorie. Ústav telekomunikací FEKT, Vysoké učení technické v Brně, Technická 12, 616 00 Brno, místnost SD5.66. URL: https://www.azd.cz/cs/produkty. (software)
Detail

Responsibility: Říha Kamil, doc. Ing., Ph.D.