Weak over-the-horizon perception and blind spot are the main problems in intelligent connected vehicles(ICVs). In this paper, a V2V image transmission-based road condition warning method is proposed to solvethem. The encoded road emergency images which are collected by the ICV are transmitted to the on-board unit(OBU) through Ethernet. The OBU broadcasts the fragmented image information including location and clockof the vehicle to other OBUs. To satisfy the channel quality of the V2X communication in different times, theoptimal fragment length is selected by the OBU to process the image information. Then, according to theposition and clock information of the remote vehicles, OBU of the receiver selects valid messages to decodethe image information which will help the receiver to extend the perceptual field. The experimental resultsshow that our method has an average packet loss rate of 0.5%. The transmission delay is about 51.59 ms inlow-speed driving scenarios, which can provide drivers with timely and reliable warnings of the roadconditions.