/Vehicle Sound Pattern Recognition

Vehicle Sound Pattern Recognition

Portrait of Vehicle Sound Pattern Recognition
Head: Mel Siegel
Associated Lab: Intelligent Sensor, Measurement, and Control Lab
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Last Project Publication Year: 1999

Almost every moving vehicle makes some kind of noise; the noise can come from the vibrations of the running engine, bumping and friction of the vehicle tires with the ground, wind effects, etc. Vehicles of the same kind and working in similar conditions (“class”) will generate similar noises, or have some kind of noise signature. This noise pattern gives a clue for military reconnaissance or a surveillance mission robot to detect a vehicle and recognize its class. Our research goal is to characterize noise patterns and use them to recognize whether a new detected sound is from a vehicle of known type, and if so to classify its type.

When travelling at different speeds, under different road conditions, or with different acceleration, a vehicle emits different noise patterns. These noises can be sampled or digitized and grouped in a series of time slices (frames); then if the spectrum changes with time, it can be described in the frequency domain as the change of frequency spectrum distribution over frames.

Displaying 2 Publications
Vehicle sound signature recognition by frequency vector principal component analysis
Huadong Wu, Mel Siegel and Pradeep Khosla

Journal Article, IEEE Transactions on Instrumentation and Measurement, Vol. 48, No. 5, pp. 1005 - 1009, October, 1999
Vehicle Sound Signature Recognition by Frequency Vector Principle Component Analysis
Huadong Wu, Mel Siegel and Pradeep Khosla

Conference Paper, Proceedings of the 15th Annual IEEE Instrumentation and Measurement Technology Conference, May, 1998

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2017-09-13T10:49:34+00:00