Camera-Based Method for Surrounding Light Intensity Calculation

Accurate and dynamic evaluation of ambient light intensity surrounding a vehicle is needed for the robust operation of vehicle, autonomous driving functions, and adaptive lighting control. This paper introduces a novel image-sensing method for assessing the vehicular surrounding light environment. The proposed approach integrates sensor fusion techniques with advanced computer vision applications to provide a comprehensive and real-time understanding of ambient illumination. We detail the methodology, which processes visual data from onboard cameras in conjunction with other relevant sensor inputs to derive nuanced light intensity measurements. The discussion will encompass the significant challenges inherent in accurately perceiving ambient light across diverse conditions, including rapid changes in illumination, glare, shadows, and varying weather phenomena. Furthermore, we present the evaluation of critical parameters essential for the system's performance, such as sensor calibration, dynamic range, and responsiveness. Initial experimental results from various driving scenarios demonstrate the efficacy of the developed method, and an in-depth analysis of challenging edge cases, including tunnel transitions, dusk/dawn conditions, and direct sunlight, will be provided. This research contributes to vehicle operation by enabling more intelligent and adaptive responses to the external lighting environment.