Issue link: https://resources.mouser.com/i/1518064
10 LiDAR-based machine vision systems see the world with the goal of meeting or exceeding human vision—the ability to see in low light, poor weather conditions, around obstacles, and similar potential challenges. LiDAR attempts to capture every single point in its surroundings by using a 360-degree view of the environment, which is best accomplished by employing different sensor types, building in redundancy, and overlapping sensors to increase the LiDAR system's precision. This approach maximizes the field of view (FoV), which refers to the angle at which LiDAR signals are emitted to capture every pixel in the environment. Despite these approaches to maximizing FoV, precision in measuring distant targets often still suffers from precision and accuracy issues because of performance delays on the receiver side that degrade signal quality (as in jitter) or affect the ToF calculation. To solve these problems, the TIA and comparator ICs in the receiver signal chain are critical for maximizing signal chain integrity and precision. Design Challenge #2: Fine-Tuning Precision "LiDAR is the fundamental technology used in detecting objects at a distance. Its ability to detect at a distance of 200 meters with a resolution of 1 to 2 cm is impressive. As technology improves, LiDAR will be better than what we see today." Maurizio Gavardoni Product Definition Engineer at Maxim Integrated "The type of photodetectors, bandwidth of the amplifier, device temperature, ambient conditions, and so forth can cause significant variation in those system noises and consequently the signal-to-noise ratio, which can significantly affect LiDAR performance." Kai Zhou ADAS Sensor Engineer, Ansys Chapter One: Solving Key Design Challenges Chapter One: Solving Key Design Challenges