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In this paper, a newly vision-based localization method for mobile robots is presented. The cost of hardware for this localization system is very low. Based on background subtraction and optical flow tracking, the presented method overcomes the shortcoming of general background subtracting method- being sensitive to noises and interferences of other mobile objects. Besides, the presented method is...
In this paper, a neural network approach named shortest path neural networks (SP-NN) is proposed for real-time on-line path planning. Based on grid-based map and mapping this kind of map to neural networks, this proposed method is capable of generating the globally shortest path from the target position to the start position without collision with any obstacles. The dynamics of each neuron is distinctive...
The paper proposed combining traditional quadtrees and framed-quadtrees with the shunting equation based neural network model to improve the efficiency of path planning. The introduction of quadtrees is used for improving the efficiency of the trajectory generation and enlarging the representation capability of maps, especially in sparse environments. And the introduction of framed-quadtree is used...
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