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E. Sun, A. Nieto and Z. Li, “GPS and Google Earth Based 3D Assisted Driving System for Trucks in Surface Mines,” Mining Science and Technology, Vol. 20, No. 1, 2010, pp. 138-142.

has been cited by the following article:

• TITLE: URAV Simulation Training System Based on Aerosim and Google Earth

  AUTHORS: Zengyan Li, Xiaomin Li, Junwei Lv, Yingsong Li

  KEYWORDS: Unmanned Reconnaissance Aerial Vehicle; Simulation Training; Google Earth; Visual Simulation

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.2, May 30, 2012

  ABSTRACT: In order to solve the difficulties of traditional simulation training method on unmanned reconnaissance aerial vehicle, such as the low environment fidelity, difficulty of modeling and long cycle of development, a simulation training method based on Google Earth is put forward. The 6-DOF motion system of URAV is established through Matlab/Simulink. The visual simulation environment which is close to real scenes is formed though GE and software of SketchUp, and the visualization of flight data and elevation information of the region are also obtained through the software of GMS Aircraft Instrument and Measurement Studio. Experiments show that the method has satisfactory effects and its functions also can be strengthened, therefore it provides reference to related researchers.