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In this paper, an automatic control system based on "x-by-wire" is introduced for a wheeled heavy duty off-road vehicle. Moreover, a vision-based recognition algorithm of unstructured roads for this automated wheeled heavy duty off-road vehicle is presented to extract the complete feasible road area. The road recognition method consists of the multilayer perceptron self-supervised on-line...
This paper presents an application of NNs to autonomous vehicles. The method is a result of linear quadratic regulator (LQR) used to design the controller for autonomous vehicles in the steady state. The NN structure is designed with the reference of the driver model. Two single neurons perform as the path filter where the previewed path is weighted. The vehicle model with nonlinear dynamics represents...
The increased popularity of wireless networks has enabled the development of localization techniques that rely on WiFi signal strength. These systems are cheap, effective, and require no modifications to the environment. In this paper, we present a WiFi localization algorithm that generates WiFi maps using Gaussian process regression, and then estimates the global position of an autonomous vehicle...
The paper presents an original approach for visual identification of road direction of an autonomous vehicle using a neural network classifier called Concurrent Self-Organizing Maps (CSOM), representing a winner-takes-all collection of neural modules. We present the experimental results obtained by computer simulation of our model. The path to be identified has been quantized in 5 output directions...
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