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With the growing adoption of dash cameras, we are seeing great potential for innovations by analyzing the video collected from vehicles. On the other hand, transmitting and analyzing a large amount of video, especially high-resolution video in real time, requires a lot of communications and computing resources. In this work, we investigate the feasibility and challenges of applying vehicular fog computing for realtime analytic of crowdsourced dash camera video. Instead of forwarding all thedoi:10.1109/mcom.2018.1800116 fatcat:rrrhyxih2rcizbcy6e5o4xpoj4