The architecture for vehicular black-box image communication in VANET

In this paper, we introduce a new practical and secure architecture for vehicular black-box image communication in a VANET environment. Since black-box images show more detailed descriptions of the vehicle and the ambient conditions, more reliable traffic information and analysis can be provided. The main barrier to establish the black-box image communication system is that the communicational and computational overheads for transferring and processing images are pretty big. In addition, the abuse of black-box images can infringe on the privacy of driver since vehicle´s behaviors and driving patterns can be easily exposed from the images. In this paper, we propose an efficient and secure vehicular black-box image communication model. Our proposed model minimizes the communicational and computation overheads by GPS based-key frame extraction and communication technique. In addition, the proposed model, assisted by RSUs, guarantees the reliable use of the images and preserves driver´s privacy. We also provide the simulated performance of our model with real black-box images.