NDLI: Driver Intention Algorithm for Pedestrian Protection and Automated Emergency Braking Systems

Content Provider	IEEE Xplore Digital Library
Author	Diederichs, F. Schuttke, T. Spath, D.
Copyright Year	2015
Description	Author affiliation: Human Factors Eng. & Vehicle Interaction, Fraunhofer IAO, Stuttgart, Germany (Diederichs, F.; Schuttke, T.) \|\| Inst. for Ergonomics & Technol. Manage. IAT, Univ. of Stuttgart, Stuttgart, Germany (Spath, D.)
Abstract	Driver intention recognition reveals an enormous potential for automated driving. Current automated emergency braking (AEB) systems warn and take over vehicle control in case of frontal collision risks. It is of high interest to detect driver's intention before initiating such transitions to automated driving in order to avoid annoyance. Also the number of warnings can be reduced when driver intention recognition indicates a safe behavior planning. Especially pedestrian protection systems will benefit in urban environments where pedestrians potentially enter the vehicle trajectory frequently. The paper describes the development of a driver intention detection algorithm for automated emergency braking systems. The data for the development is collected in a driving simulator study with 32 participants, balanced roughly by gender, age and driving style. Every participant circulated in an urban environment with random pedestrian traffic. In six scenarios data were collected where a pedestrian was either on the road or walked towards the road. An automated emergency braking system would activate a warning and eventually an automated braking in such situations. This could be adapted or cancelled in case of an existing braking intention by the driver. A fixed base Face Lab Eyetracking device stored gaze patterns in relation to the pedestrians' position on the presentation screen. Pedal activity was also recorded. The analysis of both data sources allowed the development of a rule based algorithm to detect driver's intention to brake due to the pedestrian. The algorithm proposes a sequential analysis of eye gaze and pedal activity and is presented and discussed in this paper. The algorithm correlated highly with a driver intention recognition reference method developed earlier by Diederichs & Pöhler [1]. In 94 % of the scenarios the algorithm and the reference method match in their results.
Starting Page	1049
Ending Page	1054
File Size	515874
Page Count	6
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.174
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	Vehicles Brakes Roads Classification algorithms Algorithm design and analysis Planning Atmospheric measurements pedestrian protection driver intention maneuver prediction automated driving automated emergency braking
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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