Open AccessMONITORING AIRCRAFT MOTION AT AIRPORTS BY LIDAR
Author(s) -
C. Toth,
G. Jozkow,
Z. Koppanyi,
S. Young,
Dorota A. GrejnerBrzezinska
Publication year - 2016
Publication title -
isprs annals of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 38
eISSN - 2194-9042
pISSN - 2196-6346
DOI - 10.5194/isprsannals-iii-1-159-2016
Subject(s) - runway , point cloud , computer science , lidar , geospatial analysis , trajectory , remote sensing , observability , real time computing , component (thermodynamics) , computer vision , geography , physics , mathematics , archaeology , astronomy , thermodynamics
Improving sensor performance, combined with better affordability, provides better object space observability, resulting in new applications. Remote sensing systems are primarily concerned with acquiring data of the static components of our environment, such as the topographic surface of the earth, transportation infrastructure, city models, etc. Observing the dynamic component of the object space is still rather rare in the geospatial application field; vehicle extraction and traffic flow monitoring are a few examples of using remote sensing to detect and model moving objects. Deploying a network of inexpensive LiDAR sensors along taxiways and runways can provide both geometrically and temporally rich geospatial data that aircraft body can be extracted from the point cloud, and then, based on consecutive point clouds motion parameters can be estimated. Acquiring accurate aircraft trajectory data is essential to improve aviation safety at airports. This paper reports about the initial experiences obtained by using a network of four Velodyne VLP- 16 sensors to acquire data along a runway segment.