Breaking the temporal and frequency congestion of LiDAR by parallel chaos

Abstract The rising demand for high scanning accuracy and resolution in sensors self-driving vehicles has led to the rapid development of parallelization light detection ranging (LiDAR) technologies. However, two major existing LiDAR categories—time-of-flight frequency-modulated continuous wave—the sources measurement principles currently used parallel face severe limitations from time- frequency-domain congestion, leading degraded performance increased system complexity. In this work we introduce a source—the chaotic microcomb—to overcome problem. This physical entropy source exhibits naturally orthogonalized channels that are immune any congestion Based on microcomb state, demonstrate new type LiDAR—parallel LiDAR—that is interference-free greatly simplified architecture. Our approach also enables state-of-the-art among LiDARs: millimetre-level millimetre-per-second-level velocity resolution. Combining all these desirable properties, technology potential reshape entire ecosystem.