Research on Navigation Recognition Optimization of Unmanned Self-Built Map

Aiming at the technical problems of unmanned self-built map navigation recognition optimization, we start from analyzing the working mode of navigation recognition, sensor optimization, data processing and fusion, building environmental maps, map updating and maintenance, algorithm optimization, real-time feedback and human-computer interaction, and aim at the research of efficient navigation recognition working mode, multi-sensor fusion, machine vision and image processing, data processing and analysis, and self-built map construction etc. navigation recognition technology, multi-sensor data fusion, and self-built map construction. technology, multi-sensor data fusion technology, deep learning technology, etc. are adopted to realize the optimization of unmanned self-built map navigation recognition and improve the accuracy and stability of driving trajectory.