SmogMaster- LIDAR-Enhanced Driving Assistance for Beyond Visibility in Dense Fog

This paper introduces “SmogMaster: Your Smart Driving Companion, “ the Visual Editorial Quality Assurance, an intelligent Smart Driving Assistant System (SDAS) in areas with high foggy weather affected by heavy fog. This system is installed with a RP Lidar Al sensor, camera, and the Yolov8s model for real-time feedback. By using Lidar technology, the system identifies obstacles and objects in order to create some kind of a point of cloud, which helps to avoid collisions and accidents. The Yolov8s model is equipped with a camera to identify the objects/obstacles and to calculate the distance between preprocessors using real part identification barrier to prevent accidents. SmogM aster is specially designed to be installed/implemented in the areas which are heavily affected by fog to provide accurate and timely heavy smog warnings and thus making it safer to drivers. This paper includes the development, implementation, and testing of SmogMaster, demonstrating that it has an order of magnitude lower risk acceptance potential to low-visibility accidents. The results demonstrate that The range of systems the SmogMaster helps discriminate against drivers, raising the bar for intelligent driving systems in unfavorable weather.