Print Email Facebook Twitter Autonomous Aerial Mapping and Observation Task for IMAV2014 Competition Title Autonomous Aerial Mapping and Observation Task for IMAV2014 Competition Author Colles, E. Nollet, F. Vandeportaele, B. Hattenberger, G. Date 2014-08-12 Abstract The IMAV2014 Competition gives an important place to computer vision and aerial mapping. This paper presents the different strategies and algorithms that have been developed in order to tackle these particular problems. The first task consists in automatically reading the digit displayed by a seven segment panel on the front wall of a building. Robust algorithms for segments detection are used in order to extract the features from the scene. The second task requires to produce an aerial map of the competition place. In order to generate a coherent composite image, photogrammetry methods are used, including interest points pairing and bundle adjustment. We propose to mix 3D mapping methods and standard 2D image mosaicking in order to achieve the processing in the time available during the competition while obtaining an geometrically consistent map. Subject IMAV2014MAVMicro Air Vehicleautonomous aerial mappingobservation taskIMAV2014 competition To reference this document use: https://doi.org/10.4233/uuid:9d8e9ec5-fc97-447a-97e7-e30b9fa9bc7a Part of collection Conference proceedings Document type conference paper Rights (c) 2014 Colles, E.; Nollet, F.; Vandeportaele, B.; Hattenberger, G. Files PDF 253_pdfsam_imav2014_proceedings.pdf 4.88 MB Close viewer /islandora/object/uuid%3A9d8e9ec5-fc97-447a-97e7-e30b9fa9bc7a/datastream/OBJ/view