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As the number of handicapped people increases worldwidely, the role of electric wheelchair becomes important to enhance their mobility. Considering the working environment of intelligent wheelchair is complex and obstacles have different kinds of shapes, a new method based on the monocular vision and laser fusion to obtain the obstacles was proposed. First of all, a camera installed on the intelligent wheelchair was used to detect the information of obstacles such as the shape of obstacles and the distance between the obstacles and the wheelchair. Then, the environment around the intelligent wheelchair was constructed using the information which was gathered by laser radar and the camera. Obstacle avoidance strategies were built by Fuzzy Neural Networks (FNNs). Finally the intelligent wheelchair could realize obstacle avoidance safely and easily by querying the obstacle avoidance strategies. Experimental results verify the effectiveness of the propose method.