Quanergy’s 3D time-of-flight LiDAR sensors were designed from the ground up to meet mass commercial deployment criteria in various markets. Quanergy’s technical innovations are covered by 15 patents. The technology roadmap covers multiple classes of high-performance LiDARs, with one class mechanically-based, and the other classes solid state. The cost, performance, size and reliability metrics exceed those of existing state-of-the-art solutions by one to two orders of magnitude.
Solid State Sensing
The LiDAR smart sensing technology has evolved into solid state implementations with the S3-8 and S3-1, which contain no moving or vibrating parts on either macro or micro scales. This assures the highest level of performance, reliability, longevity and cost efficiency while enabling increasingly smaller footprints that require less power. The compact package integrates seamlessly into vehicles or any other platform that stand to benefit from smart, capable, always-aware perceptive vision. Through the interaction of three main components – emitter, receiver and signal processor – the S3-8 creates a real-time, long-range 3D view of the environment and provides the ability to recognize and classify objects.
Quanergy's advanced artificial-intelligence software enables the perception of objects based on data collected by one or more LiDAR sensors. The software can be applied to a variety of platforms (e.g., transportation, industrial automation, 3D mapping and surveying, and security) to enable rapid 3D detection, measurement, tracking, identification and classification of objects, as well as triggering actions based on real-time scenario analysis. The perception software can run on top of visualizers such as RViz or PCL CloudViewer to display the data points and moving objects as a point cloud 3D map.
The LiDAR (Light Detection and Ranging) technology at the helm of all Quanergy sensors uses Time-of-Flight (TOF) capability to measure the distance and reflectivity of objects and record the data as a reproducible three-dimensional point cloud with intensity information. Operating at the 905 nm wavelength, sensitive detectors calculate the light’s bounceback Time-of-Flight (TOF) to measure the object’s distance and record the collected data as a reproducible three-dimensional point cloud. The sensor’s ability to detect objects that vary in size, shape, and reflectivity is largely unaffected by ambient light/dark, infrared signature, and atmospheric conditions.