@article {12606, title = {Vehicle Fingerprinting Using Drive-By Sounds}, year = {2006}, month = {2006/11//}, institution = {CENTER FOR AUTOMATION RESEARCH, UNIVERSITY OF MARYLAND COLLEGE PARK}, abstract = {We estimate a vehicle{\textquoteright}s speed, width, and length by jointly estimating its acoustic wave-pattern using a single passive acoustic sensor that records the vehicle{\textquoteright}s drive-by noise. The acoustic wave-pattern is estimated using three envelope shape (ES) components, which approximate the shape of the received signal{\textquoteright}s power envelope. We incorporate the parameters of the ES components along with estimates of the vehicle engine RPM and number of cylinders to form a vehicle profile vector. This vector provides a compressed statistics that can be used for vehicle identification and classification. Vehicle speed estimation and classification results are provided using field data.}, keywords = {*ACOUSTIC DETECTORS, *GROUND VEHICLES, *SIGNAL PROCESSING, ACOUSTIC DETECTION AND DETECTORS, AMPLITUDE, Interference, PASSIVE SYSTEMS, spatial distribution, STATISTICAL PROCESSES, SURFACE TRANSPORTATION AND EQUIPMENT, SYMPOSIA, WAVE PROPAGATION}, url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA481471}, author = {Cevher, V. and Chellapa, Rama and Gurbuz, A.C. and Shah, F. and McClellan, J.H.} }