Retracted: Robotic Vehicle Navigation Based on Image Processing Using Kinect

The objective of this research was to use the image data captured by the Kinect to control a robotic vehicle. The strategy is to collect a series of depth map in real-time of the robots environment, which contains range information of obstacles. The depth sensor in the Kinect can been used to produce 3D image and the movement decision is made by processing the data from sensor Kinect to identify regions which may contain nearly obstacles which should not be hit. Using the depth image data and 3D data (XYZ) obtained by the Kinect, the laptop can navigate the vehicle SRV-1 to avoid obstacles and build a 3D global map in the indoor environment. As the result of this research, the mapping for 2D and 3D data is combined with robot movement and can be operate in real-time effectively. The collision avoidance system is able to detect obstacles from depth information and navigate SRV-1 robot to choose a collision free path. The robot platform with sensor Kinect is powerful to acquired range data used in terms of navigation and mapping technique.