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A systematic Mapping study of ADAS and Autonomous Driving
Mälardalen University, School of Innovation, Design and Engineering.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Nowadays, autonomous driving revolution is getting closer to reality. To achieve the Autonomous driving the first step is to develop the Advanced Driver Assistance System (ADAS). Driver-assistance systems are one of the fastest-growing segments in automotive electronics since already there are many forms of ADAS available. To investigate state of art of development of ADAS towards Autonomous Driving, we develop Systematic Mapping Study (SMS). SMS methodology is used to collect, classify, and analyze the relevant publications. A classification is introduced based on the developments carried out in ADAS towards Autonomous driving. According to SMS methodology, we identified 894 relevant publications about ADAS and its developmental journey toward Autonomous Driving completed from 2012 to 2016. We classify the area of our research under three classifications: technical classifications, research types and research contributions. The related publications are classified under thirty-three technical classifications. This thesis sheds light on a better understanding of the achievements and shortcomings in this area. By evaluating collected results, we answer our seven research questions. The result specifies that most of the publications belong to the Models and Solution Proposal from the research type and contribution. The least number of the publications belong to the Automated…Autonomous driving from the technical classification which indicated the lack of publications in this area. 

Place, publisher, year, edition, pages
2019. , p. 96
Keywords [en]
Intelligent Transport System (ITS), Advanced Driving Assistance System (ADAS), Automated Driving, Autonomous Driving, systematic mapping study.
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-42754OAI: oai:DiVA.org:mdh-42754DiVA, id: diva2:1290935
Subject / course
Computer Science
Presentation
(English)
Supervisors
Examiners
Available from: 2019-03-12 Created: 2019-02-21 Last updated: 2019-03-12Bibliographically approved

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Agha Jafari Wolde, Bahareh
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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  • asciidoc
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