Study of Car Driver's Judgment Affordance on a Narrow Crossing Road

2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)(2018)

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摘要
In this study, we sought to determine the affordance rules for car drivers using recorded driving data for narrow crossing roads in Japan. Using constraint logic programming, we solved the path-planning problem using situated affordance rules, as a first step toward car driving affordance for humans. To model path planning, we considered the case of driving across a junction on a Tokyo road. The environment is modeled using the space with the 2D surface as a constraint for driving the car. The ecological approach to perception was originally developed by J G Gibson in his book “Ecological approach to visual perception (1979)”. His theory is useful in perceiving the prediction in the environment. This prediction is not based on past memory, but rather on the nature of human cognitive activities. The goal of this study is to explore a computational model using logic programming constraints. We intend to find the human affordance in driving and spatial relations in order to predict environmental risks on the street.
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关键词
Affordance,Near-miss incident,Pedestrian behavior,Narrow road,Common-Sense,Machine learning
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