Contribution to the Investigation of Infrastructure Readiness in Terms of Cooperative, Connected and Automated Mobility Localization

The surge in urban traffic has spurred the investigation and development of Connected, Cooperative, Autonomous, and Automated Mobility (CCAM) solutions to mitigate challenges such as congestion and accidents. Localization accuracy is one of the most critical components of CCAM systems, ensuring precise positioning. Building upon the insights gained from previous research, which uncovered significant challenges in achieving precise location along the Zilina city and surrounding region, this study focuses on implementing solutions to address these shortcomings. Our previous investigations highlighted fluctuations in location accuracy, attributed to environmental factors and technological limitations. In response, this research aims to enhance localization accuracy through the integration of GNSS and LiDAR technology while utilizing the previously acquired high-resolution land surveyor maps for detailed analysis. By leveraging these approaches, we aim to bolster the readiness of the route for autonomous transportation.