V2I Communication and Multi-Sensor Fusion for Real-Time Accurate Localization
Résumé
This paper presents a novel localization approach that enhances accuracy and reduces error drift by integrating High Definition (HD) maps with multi-sensor data. Leveraging LiDAR and GPS data, our method cross-references detected physical landmarks with HD maps to improve precision. When sensor data is obstructed, Vehicle-to-Infrastructure (V2I) communication ensures continued accuracy. This hybrid approach significantly improves localization, especially in autonomous driving and urban planning. Our solution sets a new standard for real-time localization, enhancing the safety and efficiency of autonomous vehicle operations.