MUN-FRL: A Visual-Inertial-LiDAR Dataset for Aerial Autonomous Navigation and Mapping

This paper presents a unique outdoor aerial visual-inertial-LiDAR dataset captured using a multi-sensor payload to promote the global navigation satellite system (GNSS)-denied navigation research. The dataset features flight distances ranging from 300 m to 5 km, collected using a DJI-M600 hexacopter...

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Veröffentlicht in:	The International journal of robotics research 2024-10, Vol.43 (12), p.1853-1866
Hauptverfasser:	Thalagala, Ravindu G, De Silva, Oscar, Jayasiri, Awantha, Gubbels, Arthur, Mann, George KI, Gosine, Raymond G
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft landing Algorithms Autonomous navigation Datasets Drone aircraft Global navigation satellite system Ground truth Hardware Helicopters Inertial navigation Inertial platforms Inertial sensing devices Kinematics Lidar Mapping Object recognition Real time Research aircraft Sequences Spacecraft recovery Three dimensional models Visual flight Waterfronts
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