Title :
Improving monocular SLAM with altimeter hints for fixed-wing aircraft navigation and emergency landing
Author :
Andert, Franz ; Mejias, Luis
Author_Institution :
Inst. of Flight Syst., German Aerosp. Center, Braunschweig, Germany
Abstract :
This paper presents a visual Simultaneous Localization And Mapping (SLAM) method for temporary satellite dropout navigation for an unpowered fixed-wing aircraft. It is designed for flight altitudes beyond typical stereo ranges, but within the range of distance measurement sensors. The proposed visual SLAM method consists of a common localization step with monocular camera resectioning, and a mapping step which incorporates radar altimeter data for absolute scale estimation. With that, there will be no scale drift of the map and of the estimated flight path. The method does not require simplifications like known landmarks and it is thus suitable for unknown and nearly arbitrary terrain. The method is tested with sensor datasets from a manned Cessna 172 aircraft. With 5% absolute scale error from radar measurements causing approximately 2-6% accumulation error over the flown distance, stable positioning is achieved over several minutes of flight time. The main limitations are flight altitudes above the radar range of 750 m where the monocular method will suffer from scale drift, and, depending on the flight speed, flights below 50 m where image processing gets difficult with a downwards-looking camera due to the high optical flow rates and the low image overlap.
Keywords :
SLAM (robots); airborne radar; aircraft navigation; altimeters; image sequences; absolute scale estimation; altimeter hints; distance measurement sensors; downwards-looking camera; emergency landing; fixed-wing aircraft navigation; image processing; localization step; manned Cessna 172 aircraft; mapping step; monocular SLAM; monocular camera resectioning; monocular method; optical flow rates; radar altimeter data; radar measurements; temporary satellite dropout navigation; unpowered fixed-wing aircraft; visual SLAM method; visual simultaneous localization and mapping method; Aircraft navigation; Cameras; Satellite navigation systems; Simultaneous localization and mapping; Vehicles; Visualization;
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
DOI :
10.1109/ICUAS.2015.7152390