Smart Vision Sensors: Analog VLSI Systems for Integrated    Image Acquisition #and arly Vision Processing
{'Code': '05060300', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'EIA', 'LongName': 'DIVISION OF EXPERIMENTAL & INTEG ACTIVIT'}}
{'SignBlockName': 'Gerald Maguire'}
The objective of this project is to develop custom analog VLSI hardware         for several tasks that occur early in the computational vision process.         The work involves both hardware development to implement existing               algorithms and algorithm modification to match hardware capabilities.           A goal of this research is to build a single-chip motion sensor and             analyzer that will be useful for robot navigation.  The sensor array            can be placed at the focal plane of lenses to acquire binocular image           input directly from environment, and the outputs will consist of the            intensity field, velocity field and depth map of the scene.  The system         can be used as a front-end processor for a variety of vision                    applications such as robot navigation and object recognition.                   The researchers in this team have impressive research achievements.             The team has expertise in algorithms for vision, analog circuit design,         system design and parallel computation.  It is an excellent group with          the potential to make significant discoveries along the way.  The               laboratory facilities and intellectual environment at the Massachusetts         Institute of Technology are an excellent basis for the proposed work.                                                                                           The funding of this proposal is strongly recommended.
{'FirstName': 'John', 'LastName': 'Wyatt', 'EmailAddress': 'jlw@mit.edu', 'StartDate': '09/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA'}
[{'Code': '4710', 'Text': 'DES AUTO FOR MICRO & NANO SYS'}, {'Code': '4725', 'Text': 'EXPERIMENTAL SYSTEMS/CADRE'}, {'Code': '6063', 'Text': None}, {'Code': '6960', 'Text': None}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8814612.xml'}