Anticipative Road Following via Dynamic Boundary Probability Estimation on Satellite-Roadway-Vehicle Network
نویسنده
چکیده
A stochastic perception-control coupling is introduced for anticipative road following on satellite-roadwayvehicle network. Based on the prediction of roadway pattern in the satellite image, maneuverable area is coded in terms of a fractal attractor confined in the image of observed scene by boundary probability. Random shift of the boundary probability is detected via the perception process and interpolated by using stochastic growth dynamics. Guided by the interpolation mechanism, the control process generates the trajectory to be followed by vehicle mechanism subjected to human’s unexpectable decision making. The validity of stochastic trajectory generation is verified via simulation studies.
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Stochastic Path Generation Guided by Saccadic Object Detection
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