 This research paper proposes a new slam-based robotic mapping approach that uses a combination of dense mapping and low-light image enhancement, LLIE, techniques to improve the performance of robots in low-light environments. The experimental results demonstrate that the LLIE method can effectively leverage scattered light to enhance the quality and clarity of terrain images, thus improving the robot's perception and mapping capabilities in low-light environments. This could be beneficial for robotic missions to the moon's polar shadow regions, PSRs, where direct sunlight is absent, making it difficult for robots to obtain clear images. This article was authored by J-Min Park, Sung Chul Hong, and Haya Sung Shin.