Abstract: In order to realize forward target detection, a detecting system for miniature intelligent vehicles has been proposed. On traffic sand table, miniature intelligent vehicles based on ARM9 gather the forward target information through various sensors, and then utilize these data for various purposes. The visual data is used for the pedestrian recognition, and the radar data is used for target motion analysis. Finally, ARM9 send the collected data to the monitor for real-time processing and demonstration. The simulation results show that the miniature intelligent vehicles realize the real-time context-awareness and it can get higher precision and stability than traditional system.