Abstract In this paper, a driving assessment mechanism based on video image sequence analysis techniques, such as traffic signs and road markings detection, and inter-vehicular distance estimation, is proposed. A smart device connected to 3G wireless networks is used to collect and send sensory information. These data are analyzed in a cloud computing infrastructure to evaluate personal driving assessment. The traffic signs detection realized by utilizing SIFT feature descriptor and the inter-vehicular distance estimation technique based on simple geometric constraints, are shown in detail.


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