NDLI: Robustness Evaluation and Improvement for Vision-Based Advanced Driver Assistance Systems

Content Provider	IEEE Xplore Digital Library
Author	Muller, S. Hospach, D. Bringmann, O. Gerlach, J. Rosenstiel, W.
Copyright Year	2015
Description	Author affiliation: Fac. of Comput. Sci., Univ. of Tυbingen, Tϋbingen, Germany (Muller, S.; Hospach, D.; Bringmann, O.; Gerlach, J.; Rosenstiel, W.)
Abstract	In this paper we propose a novel method of robustness evaluation and improvement. The required amount of on-road records used in the design and validation of vision-based advanced driver assistance systems and fully automated driving vehicles is reduced by the use of fitness landscaping. This is realized by guided application of simulated environmental conditions to real video data. To achieve a high test coverage of advanced driver assistance systems many different environmental conditions have to be tested. However, it is by far too time-consuming to build test sets of all environmental combinations by recording real video data. Our approach facilitates the generation of comparable test sets by using largely reduced amounts of real on-road records and subsequent application of computer-generated environmental variations. We demonstrate this method using virtual prototypes of an automotive traffic sign recognition system and a lane detection system. The robustness of these systems is evaluated and improved in a second step.
Starting Page	2659
Ending Page	2664
File Size	366740
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.427
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Rain Brightness Support vector machines Training Prototypes Vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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