Internet　of　Vehicles　(IoV)　enables　advanced　driver　assistance　systems　(ADAS)　to　acquire　the　sensing　information　of　nearby　vehicles　for　driving　safety.　One　of　the　most　dangerous　driving　maneuvers　is　overtaking,　where　the　leading　vehicle　may　occlude　the　view　of　the　following　vehicle＇s　driver.　To　assist　the　driver,　providing　the　capability　of　see-through　car　is　a　promising　solution.　ADAS　with　IoV　can　obtain　the　videos　from　the　leading　vehicle　to　compensate　the　occluded　view.　Therefore,　we　formulate　an　image　synthesis　problem　and　propose　a　lightweight　solution.　Compared　to　other　works,　we　expect　that　our　system　can　easily　apply　on　a　mobile　device　with　a　camera　or　a　smartphone.　For　implementation,　we　utilize　Unity　with　Vuforia　to　make　pose　estimation,　rather　than　GPS　or　3D　reconstruction.　We　also　validate　the　performance　of　our　system　by　the　prototyping　result.　It　shows　that　the　stitching　performance　is　well　and　we　can　achieve　this　AR　system　with　low　costs　at　price　and　computation.　©　2018　IEEE.