prikaz prve stranice dokumenta Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu
  Download
PDF 3.2 MB
master's thesis
Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu
2020. urn:nbn:hr:200:239577
Avramović, Nemanja
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Multimedia Systems and Digital Television

Cite this document

Avramović, N. (2020). Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:239577

Avramović, Nemanja. "Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:239577

Avramović, Nemanja. "Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:239577

Avramović, N. (2020). 'Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 01 August 2021, https://urn.nsk.hr/urn:nbn:hr:200:239577

Avramović N. Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2021 August 01] Available at: https://urn.nsk.hr/urn:nbn:hr:200:239577

N. Avramović, "Detekcija pješaka upotrebom više različitih kamera smještenih u automobilu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:239577

Islandora Bookmark - Please login to use this feature
Metadata
TitleDetekcija pješaka upotrebom više različitih kamera smještenih u automobilu
Title (english)Pedestrian detection using multiple cameras located in the vehicle
AuthorNemanja Avramović
MentorMario Vranješ (mentor)
Committee memberMario Vranješ (predsjednik povjerenstva)
Committee memberTomislav Matić (član povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Chair of Multimedia Systems and Digital Television)
Osijek
Defense date and country2020-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
U ovom radu opisane su postojeće metode detekcije objekata u slikama. Da bi se razvila potpuna autonomna vožnja kojoj automobilska industrija stremi, ADAS moraju obavljati funkcije s visokom točnošću i preciznošću. Nakon opisa postojećih metoda za detekciju objekata, u sklopu ovog rada razvijeno je vlastito rješenje za iscrtavanje 2D mape položaja pješaka u okolini vozila. Prvo je razvijen vlastiti slučaj upotrebe unutar VisionSDK razvojnog okruženja, koji se zasnivao na algoritmu za detekciju objekata, koji je dio VisionSDK razvojnog okruženja. Nakon razvoja vlastitog slučaja upotrebe, započet je razvoj vlastitih algoritama za procjenu udaljenosti i za iscrtavanje 2D mape položaja pješaka u okolini vozila. Vlastiti algoritmi su izrađeni u C programskom jeziku, a konačno rješenje je implementirano na ADAS ALPHA ploči. Evaluacijom rješenja je utvrđeno da je algoritam za detekciju pješaka nedovoljno pouzdan, ali da ima zadovoljavajuću razinu odziva. Rezultati procjene udaljenosti su pokazali da detekcija i procjena udaljenosti uvelike ovise o rezoluciji okvira video signala na kojima se detekcija pješaka izvršava. U konačnici, krajnji rezultat iscrtavanja 2D mape položaja pješaka u okolini vozila postiže zadovoljavajuće rezultate na manjim udaljenostima od kamere. Kalibracijom kamera i modificiranjem algoritma za detekciju kao i vlastitih algoritama, ispravnost rada konačnog rješenja mogla bi se povećati.
Abstract (english)
This master’s thesis describes existing object detection methods in images. In order to develop the fully autonomous driving that the automotive industry strives for, ADAS must perform functions with high accuracy and precision. After the description of the existing methods for object detection, as part of this master’s thesis, own solution for drawing a 2D map of the position of pedestrians in the environment of the vehicle was developed. First, own use case within the VisionSDK development environment, which was based on an object detection algorithm, which is part of the VisionSDK development environment, was developed. After developing own use case, own algorithms for estimating the distance and for drawing a 2D map of the position of pedestrians in the vicinity of the vehicle were developed. Own algorithms were developed in C programming language, and the final solution was implemented on the ADAS ALPHA board. The evaluation of the solution revealed that the algorithm for pedestrian detection is insufficiently reliable, but that it has a satisfactory level of response. The results of the distance estimation have shown that the detection and estimation of the distance largely depend on the resolution of the video signal frames on which the pedestrian detection is performed. Ultimately, the end result of drawing a 2D map of pedestrian positions around the vehicle achieves satisfactory results at shorter distances from the camera. By calibrating the cameras and modifying the detection algorithm as well as our own algorithms, the correctness of the operation of the final solution could be increased.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:239577
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Communications and Informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-19 10:44:05