Project Description:
This research, funded by the Sichuan Provincial Department of Science and Technology, integrates cutting-edge technologies from video processing, pattern recognition, and multi-source data fusion. It focuses on real traffic environments and proposes a camera-based solution for scene perception and vehicle behavior decision-making. The goal is to advance autonomous vehicle technology and promote the industrial and economic benefits of this technology.
Application Fields:
This technology enhances the perception speed of dynamic obstacles using optical cameras and improves the ability to analyze obstacle warnings. It can be applied in autonomous vehicle decision-making control systems, significantly improving system performance while reducing the reliance on expensive LiDAR systems.
