Detectability Prediction for Increased Scene Awareness

Engel, D; Curio, C

doi:10.1109/MITS.2013.2272473

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Detectability Prediction for Increased Scene Awareness

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Curio, C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6646357
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Citation

Engel, D., & Curio, C. (2013). Detectability Prediction for Increased Scene Awareness. IEEE Intelligent Transportation Systems Magazine, 5(4), 146-157. doi:10.1109/MITS.2013.2272473.

Cite as: https://hdl.handle.net/11858/00-001M-0000-001A-12EA-D

Abstract

A driver assistance system realizes that the driver is distracted and that a potentially hazardous situation is emerging. In this scenario the driver needs to make an optimal decision as fast as possible. His attention needs to be directed to the location that enhances the perception of all action relevant entities. But where is that optimal spot? Pedestrian detectability is a measure of the probability that a driver perceives pedestrians in static and dynamic scenes. Leveraging this information allows a driver assistance system to direct the attention of the driver to the spot that maximizes the probability that all pedestrians are seen.