Simulator-based driving assessment of brain-injured patients in real life practice

Allart, Étienne; Daveluy, Walter; Delahaye, Rémi; Duhamel, Amélie; Lentz, Marlène; Benoît, Anne

doi:10.1016/j.rehab.2017.07.237

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2019

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“…Explicitly, learning-based approaches require a criterion such that different driving trajectories could be appropriately rewarded or penalized [6][7][8]. Besides potential applications on AVs, DPA is also helpful during intelligent driver monitoring and training [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Driving Performance Assessment Based on Accurate Position Tracking

Song

Jiang

Song

et al. 2019

Wireless Communications and Mobile Computing

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A driving performance assessment (DPA) system has been proposed in this paper to evaluate drivers’ skills in training. The system is based on centimeter-level localization of the vehicles, thanks to differential BeiDou Navigation Satellite System (BDS). Given a vehicle’s dimensions, its envelopment has been discretized both temporally and spatially as binary images, while the training area is modeled as a grayscale image where the intensity denotes the penalty of the certain area in unit time. The performance index can be obtained from the summation of images along with time. Experiments have been conducted to demonstrate the accuracy of vehicle tracking and the effectiveness of the proposed assessment system.

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