Feasibility of Image Processing in Pavement Rehabilitation
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'John Scalzi', 'PO_EMAI': None, 'PO_PHON': None}
The objective of this project is to investigate the feasibility of a            potential application of machine vision or image processing technology          to automatically record the pavement surface and to interpret the crack         pattern and other deterioration by means of artifical intelligence              techniques.  The successful completion of this investigation will lead          to the development of new equipment for obtaining and recording images          of pavement surfaces and their interpretation by artificial                     intelligence techniques.
{'FirstName': 'Stephen', 'LastName': 'Ritchie', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stephen G Ritchie', 'EmailAddress': 'sritchie@uci.edu', 'NSF_ID': '000182558', 'StartDate': '09/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'ZipCode': '926970001', 'PhoneNumber': '9498247295', 'StreetAddress': '160 ALDRICH HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_ORG': 'CA47', 'ORG_UEI_NUM': 'MJC5FCYQTPE6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA IRVINE', 'ORG_PRNT_UEI_NUM': 'MJC5FCYQTPE6'}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '147300', 'Text': 'STRUCTURES I'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8613563.xml'}