Mai’er Micro Vision has released a LiDAR vision integrated perception solution, which has been adopted for mass production by several leading manufacturers.
Written by｜Mai’er Micro Vision
At the recently concluded2025 Berlin International Consumer Electronics Show (IFA), smart robotic lawn mowers became one of the most watched categories. This phenomenon is driven by the continuous increase in global demand for smart gardens, pushing for boundary-less, high-precision, fully automated lawn mowing solutions to experience explosive innovation.
At the exhibition, KUMA Technology launched theTri-Fusion triple fusion perception system, while Stone Technology released several new generation smart lawn mowers, and the NexLawn model with a robotic arm showcased by Droni demonstrated that the industry is accelerating towards a direction of “true unmanned operation”.
Currently, mainstream lawn mowers rely onRTK (Real-Time Kinematic) for boundary-less operation, achieving centimeter-level positioning in open areas. However, in complex scenarios with tree cover and surrounding buildings, signals can be easily interfered with, leading to positioning drift of several meters, resulting in missed or repeated mowing. Relying solely onRTK can no longer meet user expectations for “zero intervention throughout the process”, thus, the integration of multiple sensor perception solutions is becoming a new trend in the industry.
Mai’er Micro Vision: Achieving Precise Perception Loop with LiDAR Vision Integration
To address the above industry pain points, Mai’er Micro Vision (a subsidiary of Blue Core Technology) has launched theMowerSensing full-stack solution specifically designed for smart robotic lawn mowers. This solution centers onLiDAR vision integrated perception, combining multi-source positioning and obstacle avoidance algorithms to achieve stable, high-precision operation in complex garden environments:
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S10 Ultra: Highly integratedSPAD solid-state LiDAR (field of view120°×80°, ranging48 meters), 1080p vision module and industrial-grade IMU, maintaining positioning error <5cm even under dynamic occlusion through hardware-level synchronization and tightly coupled algorithms;
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S11 MIPI: IntegratingdToF sensors with global shutter cameras, featuring140° ultra-wide field of view, with a ranging accuracy of ≤1cm within 5 meters, providing cost-effective perception support for outdoor low-speed robots.
The entire solution effectively addresses challenges such as light and shadow changes, vegetation occlusion, and terrain undulation by leveraging the complementary advantages of LiDAR and vision, achieving a transition from “boundary dependence” to “scene understanding”.
As of now, this solution has been adopted for mass production by three leading industry manufacturers, including both pure hardware adaptation and complete solution cooperation models, marking its “perception-algorithm-hardware” integrated capability has successfully entered the global OPE core supply chain, accelerating the advancement of robotic lawn mowers into the era of all-scenario intelligence.
Mapping and positioning effect diagram for a 5000 square meter area
Outdoor point cloud map
Flagship LiDAR Vision Integrated S10 Ultra
S10 Ultra is a LiDAR vision integrated intelligent sensor designed for high-end robotic lawn mowers and outdoor service robots, integratingSPAD solid-state LiDAR, high-resolution global shutter camera, and industrial-grade IMU, achieving precise mapping, stable positioning, and intelligent obstacle avoidance through multi-source fusion perception and semantic understanding, greatly enhancing the machine’s operational capabilities in complex garden environments.
High-precision mapping: SLAM + 3D modeling
S10 Ultra is equipped with an ultra-wide angleSPAD solid-state LiDAR, featuring120°×80° field of view and48 meters ranging capability, generating over 300,000 effective point clouds per second, efficiently constructing detailed 3D maps of lawns, accurately identifying slope changes, ditches, shrubs, and depressed areas.
Combining semanticSLAM technology, the system uses deep learning algorithms to segment traversable lawns from areas to be avoided (such as flower beds, sand pits, stones, etc.) in real-time, supporting boundary self-learning and optimal path planning, reducing missed mowing and overlapping coverage, thus improving operational efficiency.
Stable positioning: Multi-source fusion, strong anti-interference
WhenRTK signals are obstructed or interfered with,S10 Ultra can rely on its LiDAR-vision-IMU tightly coupled fusion positioning system to achieve centimeter-level pose estimation. The system effectively addresses tree cover, weather changes, and dynamic obstacle interference through hardware-level synchronization and adaptive filtering algorithms, achieving full map construction and actual operational positioning errors of less than ±3cm, meeting the needs for boundary-less fine operations.
Semantic obstacle avoidance: Multi-modal recognition, predictable behavior
Leveraging RGB-D spatiotemporal aligned multi-modal perception capabilities,S10 Ultra synchronously outputs high-resolution images and precise depth information, allowing it to distinguish between grass and non-grass areas, as well as recognize and classify obstacles (such as children’s toys, pets, gardening tools, etc.), providing the robot with semantic-level environmental understanding. Based on this, the system supports stop, detour, and multi-strategy obstacle avoidance decisions, significantly enhancing intelligence and safety in human-robot collaboration.
S10 Ultra with its outstanding perception performance, drives robotic lawn mowers to achieve a critical leap from “boundary dependence” to “scene cognition”, suitable for commercial and household robot scenarios with high standards for reliability, accuracy, and intelligence.
From Industry to Consumer: LiDAR Vision Integrated Solutions Propel High-Precision Perception into the Thousand Yuan Era
As a wholly-owned subsidiary of Blue Core Technology focused on mobile robot perception technology, Mai’er Micro Vision has been deeply engaged in the field of environmental perception since2016, leveraging thousands of real-world cases in industrial scenarios to successfully extendLidar-Camera solid-state LiDAR technology into the consumer sector, achieving a breakthrough in high-precision perception systems at a cost of around a thousand yuan globally. Its LiDAR vision integrated sensor, through hardware-level fusion ofSPAD solid-state radar and vision, possesses capabilities to resist strong light interference and optimize low-light environments, allowing a single sensor to independently complete the entire process of mapping, positioning, and obstacle avoidance, solving industry challenges such as GNSS/RTK signal obstruction, and helping consumer-grade robotic lawn mowers officially enter the era of “all-scenario perception”.
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