This paper presents the results of research activities carried out to characterize and test the operation of a latest generation commercial, high-resolution Time-of-Flight (TOF) camera. The aim is to preliminary evaluate achievable performance as well as potential limitations related to the use of this instrument for autonomous navigation purposes. Two fields of investigation have been identified: autonomous navigation of Unmanned Aerial Vehicles flying in GPS-denied environments; autonomous relative navigation between non-cooperative space objects. With reference to these applications, first, a metrological characterization has been done within a laboratory setup. Second, experimental tests have been realized by processing point clouds acquired by the TOF sensor with state-of-the-art algorithms (for depth-based odometry and non-cooperative pose determination, respectively).
Characterization and testing of a high-resolution Time-of-Flight camera for autonomous navigation / Opromolla, Roberto; Fasano, Giancarmine; Rufino, Giancarlo; Grassi, Michele. - (2018), pp. 380-385. (Intervento presentato al convegno 5th IEEE International Workshop on Metrology for Aerospace tenutosi a Roma nel 20-22 Giugno 2018) [10.1109/MetroAeroSpace.2018.8453522].
Characterization and testing of a high-resolution Time-of-Flight camera for autonomous navigation
Roberto Opromolla;Giancarmine Fasano;Giancarlo Rufino;Michele Grassi
2018
Abstract
This paper presents the results of research activities carried out to characterize and test the operation of a latest generation commercial, high-resolution Time-of-Flight (TOF) camera. The aim is to preliminary evaluate achievable performance as well as potential limitations related to the use of this instrument for autonomous navigation purposes. Two fields of investigation have been identified: autonomous navigation of Unmanned Aerial Vehicles flying in GPS-denied environments; autonomous relative navigation between non-cooperative space objects. With reference to these applications, first, a metrological characterization has been done within a laboratory setup. Second, experimental tests have been realized by processing point clouds acquired by the TOF sensor with state-of-the-art algorithms (for depth-based odometry and non-cooperative pose determination, respectively).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.