MEMS LiDAR is a semi-solid-state LiDAR solution that replaces conventional mechanical spinning assemblies with Micro-Electro-Mechanical Systems (MEMS) micro-mirrors to steer laser beams. It is currently regarded as the mainstream option for automotive-grade mass production, striking an ideal balance between performance, cost, and reliability.
To understand MEMS LiDAR, picture a microscopic "mirror" in motion:
Core Component: At its heart lies a millimeter- or even micrometer-scale MEMS micro-mirror, capable of high-frequency deflection across both horizontal and vertical axes.
Scanning Mechanism: The laser transmitter fires light pulses at this micro-mirror, which deflects dynamically to alter the beam's trajectory, enabling two-dimensional scanning.
Imaging Principle: Photodetectors capture the reflected light signals and determine target distances by calculating the Time-of-Flight (ToF, the interval between pulse emission and reception), ultimately generating a 3D point cloud map.
Unlike legacy mechanical LiDAR units that require an unsightly "spinning dome" atop the roof, the MEMS design scans via microscopic mirrors, substantially cutting down on moving parts.
MEMS LiDAR has emerged as a front-runner among competing technologies primarily due to the following strengths:
Compact Packaging and Cost Efficiency: Dispensing with bulky drive motors and significantly reducing the required number of lasers and detectors (often down to a single array) allows for a vastly smaller form factor, slashing manufacturing costs by over 50%. Industry analyses project that unit costs could eventually fall well below RM650 (approx. RMB 1,000).
Easier Automotive-Grade Qualification: With minimal moving parts and micro-mirrors mass-produced via mature semiconductor processes, MEMS units deliver superior vibration/shock resistance and product consistency, meeting stringent automotive-grade standards far more readily.
Adaptive Scanning Modes: The MEMS mirror can dynamically adjust its scan pattern, boosting resolution and refresh rates across specific target areas—such as distant vehicles directly ahead—to deliver high-definition Region of Interest (ROI) perception.
Nevertheless, MEMS technology still faces several engineering challenges that the industry is working to overcome:
Restricted Field of View: Constrained by the physical deflection angle of the micro-mirror, a single LiDAR sensor typically offers a Field of View (FoV) of around 120°, falling short of the 360° panoramic coverage of mechanical units and necessitating multi-sensor arrays.
Micro-Mirror Long-Term Reliability: As a moving mechanical element, the micro-mirror's long-term endurance under continuous high-frequency oscillation and severe thermal cycling remains an area requiring ongoing validation and refinement.
Point Cloud Uniformity: MEMS scanning delivers dense point clouds at the centre of its FoV while tapering off towards the fringes, demanding advanced algorithmic compensation.
Today, this technology is already featured across numerous production models, serving as a staple sensing hardware in intelligent vehicle architectures.
Key Players: Globally, leading proponents of the MEMS route include RoboSense, Huawei, and Innoviz. For instance, RoboSense's RS-LiDAR-M1, widely recognised as the world's first automotive-grade MEMS LiDAR, has been deployed on production models including the XPeng G9 and Li Auto L9.
Technological Advancements: Chinese component makers are also stepping up their presence; Yingtang Intelligent Control has rolled out MEMS micro-mirrors leveraging electromagnetic drive and dual-axis independent control for commercial supply. Concurrently, pioneering firms such as Omnitron Sensors are enhancing mechanical robustness and service life by optimising the force density and aspect ratio of micro-mirror architectures.