Design and Research of Interactive Landscape Installation System for Rural Parks Based on Virtual Images
In order to construct a simulation system for sightseeing vehicle driving based on virtual images,this study designs a virtual image calibration template based on 3D virtual images to calibrate binocular perspectives and object image recognition.Based on the dynamic system of sightseeing vehicles,a fast expanding random tree algorithm is used to plan the travel path.The results show that the errors between the calibrated values and the actual measured values are 3.57％,2.70％,2.68％,4.42％,1.30％,2.60％,and 1.30％,respectively,all within 5％,meeting the allowable error range for calibration.The results of the virtual scene calibrated by the calibration template are close to those of the real scene.The improved fast expanding random tree algorithm stabilized after 300 iterations,took 6.8 seconds to plan the route,and the average route length was 105 meters.The improved RRT algorithm tends to converge after 220 iterations,with a total planning time of 4.0 seconds and an average route length of 132 meters.The above results demonstrate the effectiveness of calibrating virtual images with calibration templates and improving the fast expanding random tree al-gorithm for route planning.
virtual imagesparkinteractionsightseeingquickly expanding random trees
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