Development a System for Judging Danger Mode in Driving a Car using Neural Network.
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概要
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A system for recognizing the road environment to determine the danger mode has been developed in order to avoid accidents when driving a car. Binary images of lane markings and obstacles were produced from road images taken with a CCD camera. Various patterns of road information extracted from the binary images were classified into 35 road forms in order to determine three danger modes using neural networks. Neural networks allowed determination of the danger modes from the road forms, distances of an obstacle from the car and the traveling states of the car without using the model-matching method which is most widely used for recognizing the road environment.
- 一般社団法人 日本機械学会の論文
一般社団法人 日本機械学会 | 論文
- PREFACE
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