Target recognition around a vehicle based on an ultrasonic sensor array

doi:10.16511/j.cnki.qhdxxb.2017.21.033

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Abstract Road traffic safety can be improved by detection and recognition of vehicle environment information. This paper describes a method for recognizing the environment target type by an ultrasonic sensor array. A high performance classifier is used in an object type discrimination algorithm for real-time target detection and identification. Three general shapes are identified as planes, cylinders and triangles by a support vector machine (SVM) classification model. The target shape is then extended to more specific features. The classification algorithm also gives the probability of each object at that moment. Simulations show that the classification models are 91.5% accurate which demonstrates that the object type discrimination algorithm can recognize environmental objects near the vehicle. In road test, the experimental platform collected data on road objects, such as vehicles, pedestrians and cyclists with good recognition accuracy.

Keywords driver assistance ultrasonic sensor array object recognition support vector machine

ZTFLH:

U461.91

Issue Date: 15 December 2017

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	XIN Zhe
	ZOU Ruobing
	LI Shengbo
	YU Jiaying
	DAI Yifan
	CHEN Hailiang

Cite this article:

XIN Zhe,ZOU Ruobing,LI Shengbo, et al. Target recognition around a vehicle based on an ultrasonic sensor array[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(12): 1287-1295.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2017.21.033 OR http://jst.tsinghuajournals.com/EN/Y2017/V57/I12/1287

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