In order to improve that the detection range of a single sensor is small, the detection features are few and the detection accuracy is low, a target detection method for visual and 2D laser radar is proposed. In terms of visual detection, an improved GoogLeNet algorithm is proposed to realize the visual recognition of target objects. Compared with GoogLeNet algorithm, this method has improved the recognition accuracy of 6 target objects by 0. 7%. In 2D laser radar detection using European clustering algorithm for 2D laser radar point cloud data clustering, and then use RANSAC algorithm for clustering data point in the cluster to filter, finally using Kalman filter algorithm to estimate the location of the target object, and realize the 2D laser radar in a particular plane 360° to detect and locate the target object tracking. Experimental results show that this method can enlarge the detection range, increase the detection features and improve the recognition accuracy of mobile robot.