Vehicles detection and tracking in advanced and automated driving systems : limitations and challenges
Joint Authors
Musa, Shirin M.
al-Sayyid, Ahmad S. A.
Fayid, Z. T.
Sadiq, Muna A.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 22, Issue 3 (31 Aug. 2022), pp.54-69, 16 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2022-08-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Automated driving systems (ADS) and advanced driving assistance systems (ADAS) are widely investigated for developing safe and intelligent transportation systems.
a common module in both systems is road objects monitoring, in which the semantic segmentation for road scene understanding has encountered lots of challenges.
due to the rapid evolution in technologies applied in vision-based systems in many fields, diverse techniques and algorithms have emerged to tackle such limitations, as invariant-illumination conditions, shadows, false positives, misdetections, weather conditions, real time processing and occlusions.
a comparative study is conducted in this paper for vehicle detection and tracking methods applied on images and streams produced from monocular cameras and sensors in ADAS and ADS in terms of the aforementioned problems, the used dataset, along with the extracted features and the associated evaluation criteria.
the study deduces the limitations of the current state-of-art techniques in such particular systems and highlights the main directions that can be ado ted for future research and investigations.
American Psychological Association (APA)
Sadiq, Muna A.& al-Sayyid, Ahmad S. A.& Musa, Shirin M.& Fayid, Z. T.. 2022. Vehicles detection and tracking in advanced and automated driving systems : limitations and challenges. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 3, pp.54-69.
https://search.emarefa.net/detail/BIM-1409076
Modern Language Association (MLA)
Sadiq, Muna A.…[et al.]. Vehicles detection and tracking in advanced and automated driving systems : limitations and challenges. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 3 (Aug. 2022), pp.54-69.
https://search.emarefa.net/detail/BIM-1409076
American Medical Association (AMA)
Sadiq, Muna A.& al-Sayyid, Ahmad S. A.& Musa, Shirin M.& Fayid, Z. T.. Vehicles detection and tracking in advanced and automated driving systems : limitations and challenges. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 3, pp.54-69.
https://search.emarefa.net/detail/BIM-1409076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 65-69
Record ID
BIM-1409076