IG10 - Research Group for Biomedical Engineering

Safety in traffic is in the focus of many researchers in the last decade. Moreover, the development of in-vehicle electronics has allowed the implementation of powerful advanced driver assistance systems (ADAS). In particular, ADAS are used for collision avoidance, parking assistance, driver mental state monitoring, cruise control, lane-keeping, etc. Such systems increase traffic security and are the basics for the development of future autonomous vehicles.

The research activities are focused on the development of new ADAS algorithms, suitable for implementation on realistic ADAS-embedded platforms. Generally, ADAS implements artificial intelligence-based algorithms which consume a significant amount of hardware resources. Therefore, the reduction of the need for hardware resources, while keeping the satisfaction accuracy of implemented algorithms, is a crucial task when implementing ADAS algorithms on realistic embedded platforms. Moreover, the execution of ADAS algorithms in real-time is necessary, which as a consequence has the optimization of algorithm code and efficient usage of different embedded systems features like memory access, bus usage optimization, camera image acquisition, etc.

Published papers:

1.  Performance of spatial digital image filtering on a real Advanced Driver Assistance System platform, Year: 2022, 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), Opačak, Kristina; Herceg, Marijan; Kovačević, Jelena; Papp, Ištvan, DOI: http://dx.doi.org/0.1109/ZINC55034.2022.9840667
2. Implementation of brightness and color equalization methods to create a smooth panoramic image on a real ADAS platform, Year: 2022, 2022 International Symposium ELMAR, Dhungana, Prakash; Herceg, Marijan; Grbić, Ratko; Marinković, Vladimir, DOI: http://dx.doi.org/10.1109/ELMAR55880.2022.9899793
3. Implementation of different image edge detection algorithms on a real embedded ADAS platform, Year: 2021, 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), Ćorić, Dario; Kaštelan, Ivan; Herceg, Marija ; Pjevalica, Nebojša, DOI: http://dx.doi.org/10.1109/ZINC52049.2021.9499254
4. Face Detection in Images Using an FPGA,Year: 2021, 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), Živković, Marko; Herceg, Marijan; Pjevalica, Nebojša; Subotić, Miloš, DOI: http://dx.doi.org/10.1109/ZINC52049.2021.9499301
5. Vehicle Detection in the Autonomous Vehicle Environment for Potential Collision Warning, Year: 2020, 2020 Zooming Innovation in Consumer Technologies Conference (ZINC) , Gluhaković, Mario; Herceg, Marijan; Popović, Miroslav; Kovačević, Jelena, DOI: http://dx.doi.org/10.1109/ZINC50678.2020.9161791
6. Trajectory Planning for Autonomous Vehicle Using Digital Map, Year: 2019, 2019 Zooming Innovation in Consumer Technologies Conference (ZINC), Bajić, Jure; Herceg, Marijan  Rešetar, Ivan; Velikić Ivan, DOI: http://dx.doi.org/10.1109/ZINC.2019.8769382