Collision Prediction and Driving Safety Warning System for Mobile Robots Using 3D LiDAR and 2D Cameras

The introduction of advanced driver assistance systems (ADAS) is playing a pivotal role in modern vehicle technology, as advances in driver assistance technologies are key to improving road safety and driving comfort. This research detects and predicts far-field hazards that are beyond the range of traditional near-field radar-based systems. Here, we demonstrate a novel system that integrates 3D LiDAR and 2D camera technology to provide a comprehensive solution to these limitations. The system not only predicts potential collision points with high accuracy, but also provides advanced warning signals to the driver to improve reaction time and situational awareness. The results of the study show that this integrated approach successfully predicts far-field collision risk in a variety of scenarios, outperforming traditional radar-based ADAS. This research has important implications for the development of autonomous driving technology by showing how it can significantly reduce the incidence of traffic accidents and improve overall traffic safety. The implications of this research go beyond the immediate field and could influence future innovations in vehicle safety systems and help them evolve towards fully autonomous solutions.