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Carl Evers - One of the best experts on this subject based on the ideXlab platform.

  • Positive identification of aircraft on surface movement areas: results of FAA trials
    Air Traffic Control Technologies II, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The FAA is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the Airport Surface Target Identification System, and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Atlanta Hartsfield International Airport Results of FAA Trials to Accurately Locatendentify Aircraft on the Airport Movement Area Rick Castaldo, Product Manager for ASTA, Federal Aviation Administration
    1996
    Co-Authors: Carl Evers
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique tairgets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The FAA is evaluating different types of systems that will add the aircraft’s call-sign or flight number to the Radar image thereby allowing controllers to positively identi@ individual aircraft at all times. This paper ldescribes the development, implementation, and testing of the Airport Surface Target Identification System (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Airport Movement Area- Results of FAA Trials
    1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Fedleral Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft’s call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implement ation, and testing of the Airport Surface Target Identification System (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Positive identification of aircraft on airport movement area-results of FAA trials
    IEEE Aerospace and Electronic Systems Magazine, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air traffic controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Federal Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the airport surface target identification system (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Atlanta Hartsfield International Airport results of FAA trials to accurately locate/identify aircraft on the airport movement area
    Proceedings of Position Location and Navigation Symposium - PLANS '96, 1
    Co-Authors: Rick Castaldo, Carl Evers
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air traffic controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Federal Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the airport surface target identification system, and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

J. Roth - One of the best experts on this subject based on the ideXlab platform.

  • RTS - Extracting lines, circular segments and clusters from Radar Pictures in real time for an autonomous mobile robot
    Proceedings. EUROMICRO `91 Workshop on Real-Time Systems, 1
    Co-Authors: Thomas Knieriemen, E. Von Puttkamer, J. Roth
    Abstract:

    Autonomous mobile systems have to convert their sensor data in real time into meaningful data structures to navigate with their help through their environment. The authors show how to extract a description of the environment from a Radar Picture in real time with help of a curvature function. The mobile system MOBOT III has as its environment an office like indoor environment and obstacles detected by a laser Radar are described as lines, circle segments and clusters as building blocks of maps. The line extracting algorithm is compared to other line fitting algorithms and the time needed measured from a number of different scenes. The algorithm allows to process laser Radar data with 250 ms/Picture. >

Rick Castaldo - One of the best experts on this subject based on the ideXlab platform.

  • Positive identification of aircraft on surface movement areas: results of FAA trials
    Air Traffic Control Technologies II, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The FAA is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the Airport Surface Target Identification System, and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Airport Movement Area- Results of FAA Trials
    1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Fedleral Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft’s call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implement ation, and testing of the Airport Surface Target Identification System (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Positive identification of aircraft on airport movement area-results of FAA trials
    IEEE Aerospace and Electronic Systems Magazine, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air traffic controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Federal Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the airport surface target identification system (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Atlanta Hartsfield International Airport results of FAA trials to accurately locate/identify aircraft on the airport movement area
    Proceedings of Position Location and Navigation Symposium - PLANS '96, 1
    Co-Authors: Rick Castaldo, Carl Evers
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air traffic controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Federal Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the airport surface target identification system, and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

Alex Smith - One of the best experts on this subject based on the ideXlab platform.

  • Positive identification of aircraft on surface movement areas: results of FAA trials
    Air Traffic Control Technologies II, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The FAA is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the Airport Surface Target Identification System, and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Airport Movement Area- Results of FAA Trials
    1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air Traffic Controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Fedleral Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft’s call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implement ation, and testing of the Airport Surface Target Identification System (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

  • Positive identification of aircraft on airport movement area-results of FAA trials
    IEEE Aerospace and Electronic Systems Magazine, 1996
    Co-Authors: Rick Castaldo, Carl Evers, Alex Smith
    Abstract:

    Current operational airport surface surveillance systems do not positively identify aircraft as unique targets. Air traffic controllers are instead presented with a primary Radar Picture showing all traffic on the airport movement area. The Federal Aviation Administration (FAA) is evaluating different types of systems that will add the aircraft's call-sign or flight number to the Radar image thereby allowing controllers to positively identify individual aircraft at all times. This paper describes the development, implementation, and testing of the airport surface target identification system (ATIDS), and presents results of initial trials conducted at Atlanta Hartsfield International Airport.

Thomas Knieriemen - One of the best experts on this subject based on the ideXlab platform.

  • RTS - Extracting lines, circular segments and clusters from Radar Pictures in real time for an autonomous mobile robot
    Proceedings. EUROMICRO `91 Workshop on Real-Time Systems, 1
    Co-Authors: Thomas Knieriemen, E. Von Puttkamer, J. Roth
    Abstract:

    Autonomous mobile systems have to convert their sensor data in real time into meaningful data structures to navigate with their help through their environment. The authors show how to extract a description of the environment from a Radar Picture in real time with help of a curvature function. The mobile system MOBOT III has as its environment an office like indoor environment and obstacles detected by a laser Radar are described as lines, circle segments and clusters as building blocks of maps. The line extracting algorithm is compared to other line fitting algorithms and the time needed measured from a number of different scenes. The algorithm allows to process laser Radar data with 250 ms/Picture. >

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