Sensor and object recognition technologies for self-driving cars. Issue 4 (4th July 2018)
- Record Type:
- Journal Article
- Title:
- Sensor and object recognition technologies for self-driving cars. Issue 4 (4th July 2018)
- Main Title:
- Sensor and object recognition technologies for self-driving cars
- Authors:
- Hirz, Mario
Walzel, Bernhard - Abstract:
- ABSTRACT: Autonomous driving functions for motorized road vehicles represent an important area of research today. In this context, sensor and object recognition technologies for self-driving cars have to fulfill enhanced requirements in terms of accuracy, unambiguousness, robustness, space demand and of course costs. The paper introduces different levels of automated driving functions according to the SAE standard and derives requirements on sensor technologies. Subsequently, state of the art technologies for object detection and identification as well as systems under development are introduced, discussed and evaluated in view of their suitability for automotive applications. GRAPHICAL ABSTRACT:
- Is Part Of:
- Computer-aided design and applications. Volume 15:Issue 4(2018)
- Journal:
- Computer-aided design and applications
- Issue:
- Volume 15:Issue 4(2018)
- Issue Display:
- Volume 15, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 15
- Issue:
- 4
- Issue Sort Value:
- 2018-0015-0004-0000
- Page Start:
- 501
- Page End:
- 508
- Publication Date:
- 2018-07-04
- Subjects:
- Autonomous driving -- sensor technology -- object recognition -- image-based geometry modeling -- object differentiation
Computer-aided design -- Congresses
Computer-aided design -- Periodicals
Engineering design -- Data processing -- Congresses
Engineering design -- Periodicals
620.00420285 - Journal URLs:
- http://eproxy.lib.hku.hk/login?url=http://www.cadanda.com/ElectronicAccess.html ↗
http://web.b.ebscohost.com ↗
http://www.tandfonline.com/toc/tcad20/current ↗
http://www.cad-journal.net/open-access.html ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/16864360.2017.1419638 ↗
- Languages:
- English
- ISSNs:
- 1686-4360
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 5952.xml