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- W2359338352 abstract "In general,single sensor often has the problems of not able to detect the vehicles effectively and accurately.A new technique for detecting vehicles based on visual sensor and laser sensor is presented.First,the vehicles are restricted initially by multi-feature-combined identifying based on machine vision,and the 1Drange image is gained by laser sensor.The 1Ddistance image is used to gain the width of vehicle by laser,and its distance information is used to summarize the characters of vehicles and construct checkout function.Bayes classifier based on minimal risk is constructed by the value of checkout function to validate the objective vehicles from the initial vision identifying,so the information of vision image and laser image are fused successfully.Experimental results show that the proposed method is able to detect the forward vehicles efficiently and accurately." @default.
- W2359338352 created "2016-06-24" @default.
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- W2359338352 date "2013-01-01" @default.
- W2359338352 modified "2023-09-23" @default.
- W2359338352 title "Research on preceding vehicle detection based on information fusion" @default.
- W2359338352 hasPublicationYear "2013" @default.
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