Extensive Tests of Autonomous Driving Technologies
This paper presents the vision of the Artificial Vision and Intelligent Systems Laboratory (VisLab) on future automated vehicles, ranging from sensor selection up to their extensive testing. VisLab's design choices are explained using the BRAiVE autonomous vehicle prototype as an example. BRAiVE, which is specifically designed to develop, test, and demonstrate advanced safety applications with different automation levels, features a high integration level and a low-cost sensor suite, which are mainly based on vision, as opposed to many other autonomous vehicle implementations based on expensive and invasive sensors. The importance of performing extensive tests to validate the design choices is considered to be a hard requirement, and different tests have been organized, including an intercontinental trip from Italy to China. This paper also presents the test, the main challenges, and the vehicles that have been specifically developed for this test, which was performed by four autonomous vehicles based on BRAiVE's architecture. This paper also includes final remarks on VisLab's perspective on future vehicles' sensor suite.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Authors:
- Broggi, Alberto
- Buzzoni, Michele
- Debattisti, Stefano
- Grisleri, Paolo
- Laghi, Maria Chiara
- Medici, Paolo
- Versari, Pietro
- Publication Date: 2013-9
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: pp 1403-1415
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 14
- Issue Number: 3
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Costs; Driver support systems; Integrated systems; Intelligent vehicles; Prototype tests; Sensors; Validation
- Identifier Terms: Artificial Vision and Intelligent Systems Laboratory
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01524725
- Record Type: Publication
- Files: TLIB, TRIS
- Created Date: May 1 2014 4:36PM