Remote Imagery for Unmanned Ground Vehicles (RIUGV)
نویسندگان
چکیده
US ARMY Tank, Automotive, Research, and Development Center and Automotive Center, 6501 E Eleven Mile Road, AMSRD-TAR-R MS 264, Warren, MI, USA 48397 Lockheed Martin Missiles And Fire Control Dallas , PO Box 650003 MS WT-52, Dallas TX, USA 75265 Definiens Imaging, Trappentreu str. 1, 80 339 Munich US ARMY Engineer Research and Development Center, 3909 Halls Ferry Road, CEERD-GM-M, Vicksburg, MS, USA 39180 TRADOC Analysis Center, USA TRAC-MTRY P.O. Box 8695, ATRC-RDM, Monterey, CA USA 93943
منابع مشابه
Virtual UAV Ground Control Station
A new design for an immersive ground control station is presented that allows operators to monitor and control one or more semi-autonomous unmanned remote vehicles. This new ground station utilizes a virtual reality based visualization of the operational space and the graphical representation of multiple information streams to create a comprehensive immersive environment designed to significant...
متن کاملProgrammable Multispectral Imager Development as Light Weight Payload for Low Cost Fixed Wing Unmanned Aerial Vehicles
In this paper, we have developed a light-weight and costefficient multispectral imager payload for low cost fixed wing UAVs (Unmanned Aerial Vehicles) that need no runway for takeoff and landing. The imager is band-reconfigurable, covering both visual (RGB) and near infrared (NIR) spectrum. The number of the RGB and NIR sensors is scalable, depending on the demands of specific applications. The...
متن کاملA Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data
Recent advances in remote sensed imagery and geospatial image processing using unmanned aerial vehicles (UAVs) have enabled the rapid and ongoing development of monitoring tools for crop management and the detection/surveillance of insect pests. This paper describes a (UAV) remote sensing-based methodology to increase the efficiency of existing surveillance practices (human inspectors and insec...
متن کاملAssessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS) techniques combining photogramme...
متن کاملAn Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds
Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. Remote sensing with UAVs has the potential to provide imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery, however, makes it necessary to develop automated techniques to geometrically rectify and mosaic the imagery such that large...
متن کامل