… to estimate the vehicle state parameters. The adaptive ability of the neural networks enables
… scholars in applying neural networks to the motion control of unmanned vehicles in recent …

… it is obvious that intelligent unmanned agricultural vehicles will be an indispensable … neural
network PID control system has been applied for controlling an unmanned agricultural vehicle…

… Unmanned vehicles have drawn wide attention due to their … dynamic system of unmanned
vehicles inherently has the … work in the exploitation of unmanned vehicles to deal with the …

… neuronal network-based learning model named NeuraBASE is presented as a possible
solution towards autonomy. This neuronal network … of sensor and motor neuron events. The …

… Neural Networks work faster … Neural Networks has been proposed in which the output
generated from the Genetic Algorithms is used to train the network of Artificial Neural Networks. …

… Abstract—Unmanned vehicles that use vision sensors for per… the vision system and the
unmanned vehicle to a safe state. … However, this is not feasible for an unmanned aerial vehicle. …

… clearly demonstrate that each unmanned vehicle can meet the … , the solution to the unmanned
vehicle traveling salesman … the efficiency of unmanned vehicle operations, which has …

… for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial neural
network (… of optimizing the structure of backpropagation network, to increase the efficiency and …

… Combining them, Neural Networks will allow learning … neural network fuzzy inference
system (ANFIS) controller is described and implemented to navigate the autonomous vehicle. …

… can be used in the unmanned underwater vehicle autonomous learning environment. This
study … that recurrent neural networks with convolution greatly enhance the ability of unmanned …