Vehicle　positioning　and　vehicle　identification　of　natural　scene　images　are　an　important　part　of　intelligent　transportation　systems　and　unmanned　driving　research.　In　current　situation,　there　are　still　some　problems　in　vehicle　intelligent　wireless　positioning.　In　order　to　improve　the　intelligent　wireless　positioning　efficiency　of　vehicles,　based　on　the　convolutional　neural　network,　this　research　combines　the　concept　of　deep　learning　to　carry　out　algorithm　innovation　in　the　research.　Moreover,　this　paper　combines　the　actual　vehicle　positioning　problem　points　to　collect　data,　simulates　the　vehicle　positioning　situation　in　a　variety　of　complex　situations,　and　designs　a　controlled　test　to　verify.　The　results　show　that　the　algorithm　of　this　study　has　certain　effects,　which　can　provide　reference　for　subsequent　related　research　and　has　certain　practical　significance.