April 29th, 2009

Obstacle avoidance for power wheelchair using bayesian neural network.

Posted in Travel by Admin

Obstacle avoidance for power wheelchair using bayesian neural network.

In this paper we present a real-time obstacle avoidance algorithm using a Bayesian neural network for a laser based power wheelchairs system. The raw laser data is modified to accommodate the wheelchair dimensions, allowing the free-space to be determined accurately in real-time. Data acquisition is performed to collect the patterns required for training the neural network. A Bayesian frame work is applied to determine the optimal neural network structure for the training data. This neural network is trained under the supervision of the Bayesian rule and www.easymedonline.com the obstacle avoidance task is then implemented for the wheelchair system. Initial results suggest this approach provides an effective solution for autonomous tasks, suggesting Bayesian neural networks may be useful for wider assistive technology applications

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