Automatic　road　markings　recognition　is　important　for　the　research　of　intelligent　vehicle　which　is　used　for　both　automotive　navigation　and　advanced　driver　assistance　system.　In　most　previous　researches,　the　markings　such　as　lane　have　been　used　for　localizing　and　serving　the　vehicle　along　the　road.　However,　in　fact,　the　markings　such　as　guide　arrows　and　warnings　are　necessary　for　automotive　navigation.　Therefore,　this　article　presents　an　automatic　road　markings　recognition　method　based　on　support　vector　machine　to　reduce　the　impact　of　external　environment　such　as　viewpoint,　brightness,　and　background.　In　which,　the　input　vector　comprises　four　improved　Hu　moments　and　two　affine　invariant　moments　obtained　from　reconstructed　image.　The　presented　method　has　been　tested　with　experiment　images,　and　the　results　show　that　the　accuracy　of　recognition　can　be　reached　over　97%　and　time　consumption　per　frame　is　0.26　s.　It　is　clear　that　the　proposed　method　has　strong　potential　effectiveness　to　be　applied　for　intelligent　vehicle　systems　application.