1 / 5

LOCALIZATION OF A UAV FOR THE INSPECTION OF BRIDGES BY USING VISION AND INERTIAL SENSORS

LOCALIZATION OF A UAV FOR THE INSPECTION OF BRIDGES BY USING VISION AND INERTIAL SENSORS. Najib METNI François DERKX Jean-Luc SORIN. PROBLEM FORMULATION : To localize the aerial vehicle in the 3D environment for cracks and defects visualization on bridges. OBJECTIVES:

galahad
Download Presentation

LOCALIZATION OF A UAV FOR THE INSPECTION OF BRIDGES BY USING VISION AND INERTIAL SENSORS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. LOCALIZATION OF A UAV FOR THE INSPECTION OF BRIDGESBY USING VISION AND INERTIAL SENSORS Najib METNI François DERKX Jean-Luc SORIN

  2. PROBLEM FORMULATION: To localize the aerial vehicle in the 3D environment for cracks and defects visualization on bridges. OBJECTIVES: Scanning the civil structures to detect defects and cracks. • - To automate the tasks to be realized. • To reduce necessary logistics (time, security,..). • - To avoid the closing the traffic on the bridge. DESCRIPTION OF THE UAV (SurveyCopter) Used Sensors: INS (Inertial Navigation Sensor), GPS, Camera. The Ground Station COPTER 1B

  3. Normal inspection by the means of a Footbridge: First Experiment on the “Viaduc de Saint-Cloud”: • Inspection feasibility trial of an manually controlled • UAV helicopter: -- Image of a bridge defect and its corresponding treated image:

  4. Trajectory Optimization Non Linear Estimator Data Fusion from INS and Camera:

  5. Camera Modelisation: Homography Matrix:

More Related