Sensor technologies such as radar, camera, and LIDAR have become the key enablers for achieving higher levels of autonomous control in vehicles, from fleets to commercial. There are, however, still questions remaining: to what extent will radar and camera technologies continue to improve, and which LIDAR concepts will be the most successful? This presentation will provide an overview of the tradeoffs for LIDAR vs. competing sensor technologies (camera and radar); this discussion will reinforce the need for sensor fusion. We will also discuss the types of improvements that are necessary for each sensor technology. The presentation will summarize and compare various LIDAR designs -- mechanical, flash, MEMS-mirror based, optical phased array, and FMCW (frequency modulated continuous wave) -- and then discuss each LIDAR concept's future outlook. Finally, there will be a quick review of guidelines for selecting photonic components such as photodetectors, light sources, and MEMS mirrors.
Jake Q. Li is in charge of research and analysis of various market segments, with a concentration in the automotive LiDAR market. He is knowledgeable about various optical components such as photodetectors -- including MPPC (a type of silicon photomultiplier or SiPM), avalanche photodiodes, and PIN photodiodes -- and light emitters that are important parts of LIDAR system designs. He has expert understanding of the upcoming solid-state technology needs for the autonomous vehicle market. Together with his experience and understanding of the specific requirements needed for LIDAR systems, he will guide you through the selection process of the best photodetectors and light sources that will fit your individual needs.