Fusion of in-vehicle sensor data to develop Intelligent Driver Training System (IDTS)

Malik, Husnain, Rakotonirainy, Andry, Maire, Frederic D., & Larue, Gregoire (2009) Fusion of in-vehicle sensor data to develop Intelligent Driver Training System (IDTS). In Proceedings of the 21st International Technical Conference on the Enhanced Safety of Vehicles, June 15-18 ,2009, International Congress Center, Stuttgart.

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The over represented number of novice drivers involved in crashes is alarming. Driver training is one of the interventions aimed at mitigating the number of crashes that involve young drivers. To our knowledge, Advanced Driver Assistance Systems (ADAS) have never been comprehensively used in designing an intelligent driver training system. Currently, there is a need to develop and evaluate ADAS that could assess driving competencies. The aim is to develop an unsupervised system called Intelligent Driver Training System (IDTS) that analyzes crash risks in a given driving situation. In order to design a comprehensive IDTS, data is collected from the Driver, Vehicle and Environment (DVE), synchronized and analyzed. The first implementation phase of this intelligent driver training system deals with synchronizing multiple variables acquired from DVE. RTMaps is used to collect and synchronize data like GPS, vehicle dynamics and driver head movement. After the data synchronization, maneuvers are segmented out as right turn, left turn and overtake. Each maneuver is composed of several individual tasks that are necessary to be performed in a sequential manner. This paper focuses on turn maneuvers. Some of the tasks required in the analysis of ‘turn’ maneuver are: detect the start and end of the turn, detect the indicator status change, check if the indicator was turned on within a safe distance and check the lane keeping during the turn maneuver. This paper proposes a fusion and analysis of heterogeneous data, mainly involved in driving, to determine the risk factor of particular maneuvers within the drive. It also explains the segmentation and risk analysis of the turn maneuver in a drive.

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ID Code: 27607
Item Type: Conference Paper
Refereed: Yes
Additional Information: The contents of this proceedings can be freely accessed via the conference organiser's website (see official URL)
Additional URLs:
Keywords: Intelligent Driver Training System (IDTS), Driver Vehicle Environment (DVE), Sensor Fusion
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AUTOMOTIVE ENGINEERING (090200)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100) > Sensory Processes Perception and Performance (170112)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > COMMUNICATIONS TECHNOLOGIES (100500)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2009 [please consult the authors]
Deposited On: 28 Sep 2009 23:01
Last Modified: 09 Jun 2010 14:02

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