An Overview of Localization Accuracy for Cooperative, Connected and Automated Mobility

Autonomous transportation is heavily reliant on precise and reliable localization systems for safe and efficient navigation in dynamic environments. This paper builds upon previous research conducted on the Zilina city and surrounding area, which identified significant challenges in achieving accurate localization. The route encompasses diverse urban landscapes, posing unique challenges. Through a detailed analysis of network performance parameters, this study aims to pinpoint key improvement areas and propose innovative solutions to enhance localization accuracy. Initial research revealed limitations in smartphone-based GPS localization for localization measurements due to fluctuations in accuracy and environmental factors. To overcome these challenges, the second measurement proposed the integration of GNSS and LiDAR technology, complemented by high-resolution land surveyor maps. By leveraging these technologies, the study seeks to bolster the readiness of the route for autonomous transportation. This study sets the stage for an analysis of the challenges and opportunities in achieving precise localization accuracy, highlighting the importance of robust localization systems for successful autonomous vehicles deployment in urban environments.