Research on the Environmental Adaptation and Optimization of Unmanned Driving Road Detection Vehicles with Ground Penetrating Radar

In response to the optimization technology issues of geological radar for unmanned road detection vehicles, research was conducted on solutions regarding geological radar working modes, data processing and fusion, algorithm optimization, real-time feedback, and human-computer interaction. To address this issue, methods combining GPR technology with ultrasonic detection technology and GPR technology with geological resistivity detection technology were utilized or proposed, effectively analyzing the impact of soil temperature and environmental humidity on detection data accuracy. The environmental adaptive mechanism, data processing flow optimization, and algorithm adjustments in this study achieved a significant improvement in the accuracy of geological radar data under different soil and humidity conditions. The simulation experiment results indicate that through dynamic adjustments and environmental change compensation, the detection capability of geological radar has been enhanced by over 80%, demonstrating the ability to maintain efficiency and safety in complex geological environments, and the results indicate that this technical solution is feasible.