Image transmission of an automated guided vehicle in industrial environments that compressed by region of interest based on the attitude sensor

Abstract:

The bandwidth of an automated guided vehicle in industrial environments should meet the requirements of visual navigation, monitoring and control signal transmission simultaneously. Providing image signals in real time while not consuming too much bandwidth has become the key to the transmission of automated guided vehicle in industrial environments. The images used for navigation monitoring should be of high quality in the horizontal field of view. However, the acquisition of the view in the horizontal field is difficult because the road surface is uneven during the moving of vehicles, and the excessive bandwidth occupation of view acquisition will affect the navigation, monitoring and control signal transmission of the automated guided vehicle. Therefore, transmitting image data in real time under lowbandwidth conditions is the focus of automated guided vehicle image transmission research. The image used for navigation monitoring should be of high quality in the horizontal field of view. In order to balance image quality against bandwidth consumption, this paper proposes an image compression algorithm based on the H.264/AVC algorithm. The proposed algorithm uses a gesture sensor to obtain the horizontal field of view as the region of interest, and adopts different compression rates for the region of interest and the region of no interest in the video frame, respectively. Compared to the H.264/AVC algorithm, this method can achieve a higher compression rate while ensuring the image quality, and is more friendly to the network bandwidth.