This paper examines the use of airborne Light Detection and Ranging (LIDAR) for detection and velocity estimation of mobile obstacles in airport movement areas during landing and low altitude flight. Depending upon the operational conditions, obstacles may become hazards posing a threat to landing safety. In order to prevent runway incursions caused by runway obstacles, pilots must be made aware of all surface traffic. This traffic not only includes other aircraft, but also objects such as ground vehicles, wildlife, pedestrians, and debris. Current landing safety systems such as Automatic Dependent Surveillance-Broadcast (ADS-B) are limited to vehicles equipped with a transponder, while the Airport Movement Area Safety System (AMASS) is limited by factors including hazard size and communication latency with the pilot. A truly robust hazard monitoring system capable of operating in all scenarios and landing conditions must include the capability to detect all airport surface traffic, estimate the state of that traffic. This task would preferably be independent of information from monitoring systems external to the aircraft. The hazard monitor proposed in this paper makes use of two airborne laser scanners (ALS), an inertial measurement unit (IMU), and the Global Positioning System (GPS) to identify and accurately geo-locate all runway obstacles in addition to estimating the state of the hazard though velocity prediction. Flight-testing and data collection using this system has been preformed at the Ohio University Airport (KUNI) in Albany, Ohio. Results indicate geo-referencing accuracy of approximately 2m in most cases, along with successful hazard classification, and hazard velocity estimates accurate to within 2.8 m/s.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detection of mobile runway obstacles using dual airborne laser scanners


    Contributors:


    Publication date :

    2008-10-01


    Size :

    1089083 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Airborne FLIR sensors for runway incursion detection

    Archer, Cynthia / White, Joseph / Neece, Robert | SPIE | 2009


    Airborne FLIR sensors for runway incursion detection [7328-14]

    Archer, C. / White, J. / Neece, R. et al. | British Library Conference Proceedings | 2009


    Detection of Obstacles on Runway Using Ego-Motion Compensation and Tracking of Significant Features

    Gandhi, T. L. / Devadiga, S. / Kasturi, R. et al. | British Library Conference Proceedings | 1996