Intelligent Fusion Technology, Inc. (IFT) and Jamil Abdo, Associate Professor of Mechanical Engineering at Frostburg State University (FSU) received a $90,000 Maryland Industrial Partnerships (MIPS) funding award for a project titled “LIDAR Performance Assessment in Autonomous Vehicles.” Light Detection and Ranging (LIDAR) sensors are one of the most promising options for automated driving. However, they have their weaknesses, especially in adverse weather conditions. LIDAR is affected by weather conditions such as rain, snow, and fog, due to the diffraction of light in these environments. The performance of LIDARs and their limits need to be investigated, and, possibly, solutions found for these restrictions. This work develops a validation method to perform outdoor tests to examine how rain, fog, and snow affect performances of different LiDARs. The new LIDAR test system will be designed to measure performance enhancements based on measurement objectives, measurement requirements (accuracy, precision, and resolution) and operational requirements (reliability, stability, operation difficulty).