Conference papers
Flight autonomy of micro-drone in indoor environments using LiDAR flash camera
Abstract : Autonomy starts with awareness of the environment. Robots are given autonomy using sensors that endow them with perceptual capabilities, such as cameras . Recently, a new type of camera working under the Time-of-Flight principle has been developed, capable of acquiring dense depth maps at high frame rates. Its small size and weight make it suitable for its use on-board a flying vehicle for indoor localization and mapping . This document outlines the first approaches taken in the use of a ToF camera for such tasks constrained by real-time requirements. The camera has been mounted on a flying vehicle that uses the open source Paparazzi autopilot system developed by the ENAC ( Ecole National de l'Aviation Civile ) french team. Since indoor environments are predominantly planar, planar patches have been favoured to model the environment and detect motion of the UAV. A Region Growing segmentation algorithm identifies and extracts planes from the scene in real-time. Planes are tracked and registered across a sequence of frames to estimate the camera's ego-motion . Initial results of plane-based visual odometry are presented and confirm the device suitability.
Cited literature [28 references]
https://hal-enac.archives-ouvertes.fr/hal-00939230
Contributor : Laurence Porte <>
Submitted on : Tuesday, May 20, 2014 - 12:28:40 PM
Last modification on : Wednesday, May 6, 2020 - 4:18:12 PM
Document(s) archivé(s) le : Wednesday, August 20, 2014 - 10:36:43 AM
Contributor : Laurence Porte <>
Submitted on : Tuesday, May 20, 2014 - 12:28:40 PM
Last modification on : Wednesday, May 6, 2020 - 4:18:12 PM
Document(s) archivé(s) le : Wednesday, August 20, 2014 - 10:36:43 AM
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