Millimeter-wave　(mmWave)　communications　with　abundant　spectrum　resources　have　become　an　enabling　technology　for　high　throughput,　ultra-reliable,　and　low　latency　communications　(URLLC).　Since　the　mmWave　signal　is　sensitive　to　blockage,　accurate　base　station　(BS)　selection　and　beam　searching　are　the　premises　of　achieving　the　URLLC.　In　this　paper,　we　consider　the　mmWave　communications　systems　where　mobile　users　are　served　by　the　roadside　unit　(RSU).　We　propose　a　multi-camera　view　based　proactive　RSU　selection　and　beam　searching　scheme　that　can　predict　the　optimal　RSU　for　the　user　in　the　next　frame　and　search　the　corresponding　beam　pair.　The　proposed　scheme　utilizes　vision　sensing　and　reduces　training　resources.　In　addition,　the　visual　information　of　multiple　views　makes　the　selection　of　the　optimal　RSU　more　accurate　and　reliable　compared　to　the　existing　single　view　technologies.　Simulation　results　in　an　outdoor　environment　show　the　superior　performance　of　the　proposed　scheme　in　terms　of　predicting　accuracy　and　achievable　rate.