360° Non-Repetitive Scanning 3D LiDAR
Innovative non-repetitive scanning technology captures richer spatial information per frame. Combined with high-precision ranging and industrial-grade reliability, providing comprehensive 3D perception for autonomous driving, robot navigation, and smart cities.
Four core technologies for superior 3D perception
Each rotation covers different angles, progressively filling the vertical field of view over time for higher spatial resolution and richer environmental data.
FOV 70°×360°200kHz point rate, 0.05~50m range (90% reflectivity), ≤2cm accuracy (@10m) for reliable environmental modeling and target detection.
Resolution 0.9°~0.18°IP67 rated, -10°C~+60°C wide temperature range for harsh outdoor environments. Only 408g, compact and lightweight.
Only 408gPower under 4.5W with built-in IMU. Supports PTP v2 precise time synchronization for convenient multi-sensor fusion.
PTP v2M360 and M360-D dual versions for diverse application needs
| Spec | M360 | M360-D |
|---|---|---|
| Scanning Type | Non-repetitive | Non-repetitive |
| Horizontal FOV | 360° | 360° |
| Vertical FOV | -10°~60° (70°) | -10°~60° (70°) |
| Range | 0.05~50m (90% reflectivity) | 0.05~50m (90% reflectivity) |
| Point Rate | 200kHz | 200kHz |
| Range Accuracy | ≤2cm(@10m) | ≤2cm(@10m) |
| Angular Resolution | H: 0.9°~0.18°, V: 0.36° | H: 0.9°~0.18°, V: 0.36° |
| Return Mode | Single Return | Dual Return |
| Protection | IP67 | IP67 |
| Input Voltage | 12~32VDC | 12~32VDC |
| Power | <4.5W | <4.5W |
| Dimensions | 78×78×81mm | 78×78×81mm |
| Weight | 408g | 408g |
| Interface | Ethernet×1, CAN×1 | Ethernet×1, CAN×1 |
| Protocol | TCP/UDP, PTP v2 | TCP/UDP, PTP v2 |
Discover M360 real-world applications across industries
An end-to-end guide to building digital twins from LiDAR point clouds — covering scan-to-model workflows, platform comparisons, and ROI analysis for facilities and infrastructure.
Read More →A practical engineering guide comparing four LiDAR deployment methods — fixed TLS, vehicle-mobile, UAV, and handheld — for slope deformation monitoring and landslide early warning.
Read More →Most 3D LiDARs use repetitive scanning, which creates fixed blind gaps between scan lines. Non-repetitive scanning eliminates these gaps over time — here's what that means for your AGV or AMR.
Read More →Physical AI demands real-time 3D perception. Here's which LiDAR specs — point rate, FOV, blind zone, power — actually affect your robot's ability to perceive, reason, and act.
Read More →Section 164 of the FY2025 NDAA took effect June 30, 2026, banning Chinese-made LiDAR from U.S. defense projects. What robotics teams need to know and which sensors qualify.
Read More →Compare 6 LiDAR SLAM algorithms for GPS-denied environments — tunnel inspection, mining, and warehouse AGV deployments.
Read More →Scan-vs-BIM compares as-built point clouds against BIM models to catch construction errors early. A practical guide to workflow, sensor selection, and ROI.
Read More →How LiDAR transforms heritage preservation — high-precision 3D scanning, deformation monitoring for buildings, carvings, and archaeological sites.
Read More →Compare four point cloud registration algorithms — ICP, NDT, TEASER++, and CPD. Accuracy benchmarks, speed tradeoffs, and which method fits your pipeline.
Read More →Compare 8 point cloud annotation platforms for LiDAR — pricing, features, 3D labeling speed, and automation. Pick the right tool for your project.
Read More →How LiDAR transforms tunnel inspection — crack detection to digital twins. Compare stationary, mobile, and handheld scanning approaches.
Read More →Airborne LiDAR bathymetry uses green laser to map underwater terrain. Discover how topo-bathymetric LiDAR transforms flood risk assessment and coastal survey.
Read More →How bathymetric LiDAR uses green laser light to measure water depth from the air — physics, applications in coastal management and flood modeling.
Read More →Cities are replacing inductive loops and cameras with LiDAR at intersections. Real-world deployments show 99%+ detection accuracy, privacy-compliant monitoring, and V2X integration.
Read More →How LiDAR measures stockpile volume in mining — fixed-mount, drone, and handheld approaches compared to total station and photogrammetry, with accuracy benchmarks.
Read More →How 3D LiDAR scanning enables crop height measurement, LAI estimation, and yield prediction — compared to multispectral imaging and photogrammetry.
Read More →Comparing LiDAR, cameras, and radar for perimeter intrusion detection — false alarm rates, night performance, weather resilience, and privacy compliance.
Read More →Comparing LiDAR options for quadruped robots — from Boston Dynamics Spot to Unitree Go2 to custom builds. Weight, power, FOV, and mounting positions analyzed.
Read More →Learn how to process handheld LiDAR point cloud data in CloudCompare — from importing raw scans to exporting deliverables like floor plans, 3D meshes, and volume calculations.
Read More →RTK GNSS provides centimeter-level absolute positioning that eliminates SLAM drift in outdoor handheld LiDAR scanning. Learn how RTK-SLAM fusion works and accuracy gains.
Read More →LiDAR captures millimeter-accurate digital records of historic buildings — without touching them. From Notre-Dame to ancient city walls, a guide to methods, workflows, and real cases.
Read More →Step-by-step guide to mapping indoor spaces with a handheld LiDAR scanner — from pre-scan planning and path strategy to SLAM configuration and point cloud processing.
Read More →Side-by-side comparison of Livox Mid-360 and M360 for handheld SLAM scanning — range, accuracy, weight, power, FOV, and real-world mapping performance.
Read More →From $1,000 DIY rigs to $60,000 commercial systems — a detailed cost breakdown of handheld LiDAR scanners, covering sensors, compute, batteries, and software.
Read More →Learn how SLAM algorithms power handheld LiDAR scanners, what causes drift, and the specs that separate survey-grade from consumer-grade accuracy.
Read More →Compare handheld LiDAR and photogrammetry for 3D scanning accuracy, speed, cost, and real-world performance. Learn which technology fits your workflow.
Read More →Handheld 3D scanner vs photogrammetry — accuracy, cost, speed, and real-world use cases compared. Find out which method fits your project.
Read More →Learn how to use handheld LiDAR scanners for scan-to-BIM workflows — from hardware selection and field scanning to point cloud processing in Revit. Practical guide with accuracy benchmarks.
Read More →A robotics engineer's guide to selecting the right LiDAR for handheld SLAM scanning — comparing Livox M360, LD19, Pandar40P, and mechanical multi-line options.
Read More →Compare three HKU-MARS SLAM algorithms for handheld scanning. Which handles fast motion, degraded environments, and colored point clouds best?
Read More →A practical breakdown of every sensor type an autonomous forklift requires — LiDAR, cameras, ultrasonics, IMUs, and encoders — with comparison tables and a selection checklist.
Read More →Side-by-side specs for 12 LiDAR sensors used in AGVs and AMRs — 2D and 3D, from budget options to industrial-grade. Includes decision framework by use case.
Read More →185,500 robot LiDAR units shipped in Q1 2026. Why pricing is compressing, and what this means for AGV sensor selection.
Read More →A data-driven framework covering 8 hardware parameters, SLAM compatibility, a 3-year TCO model, and a 15-point evaluation checklist for AGV LiDAR selection.
Read More →Why the cheapest AGV LiDAR could cost you 5x more. Our 3-year TCO model reveals downtime, calibration, and hidden costs that spec sheets don't show.
Read More →A practical migration guide covering sensor selection, ROI analysis, and step-by-step deployment for switching your AMR fleet to 3D LiDAR. Includes M360, RoboSense Airy, and Hesai JT128 comparison.
Read More →Compare near-blind zone specs of 6 leading LiDAR sensors: M360, MID-360, Hesai XT32, Hokuyo, SICK, and Livox Mid-70. Includes measured data, decision tree, and ISO 3691-4 safety analysis.
Read More →Blind zone, FOV, IP rating, dual echo — practical LiDAR selection recommendations for warehouse, factory, and outdoor AGVs.
Read More →How big are 2D LiDAR blind zones really? Which scenarios justify upgrading to 3D? Cost analysis based on real deployments.
Read More →How M360 LiDAR is applied in urban renewal to solve traditional survey challenges, improve mapping efficiency and reduce costs.
Read More →M360 LiDAR in industrial scanning: factory renovation, warehouse modeling, and equipment maintenance for high-precision measurement.
Read More →Real-world substation inspection: M360 LiDAR solves quadruped robot navigation on 40° steep stairs with 5cm near-blind zone, IP67, and dual-echo penetration.
Read More →M360 vs MID-360 comparison: range, blind zone, FOV, power, supply, dual-echo, IP67, IMU with scenario-based recommendations.
Read More →M360 LiDAR anti-interference for multi-device environments: dual-echo penetration, 5cm near-blind zone, IP67 protection.
Read More →SmartBotParts M360 vs Livox MID-360 on campus delivery robots: 70° FOV low-profile mount, 5cm near-blind zone, cold/hot temp, dual-echo rain.
Read More →M360 benchmarked with FAST-LIO2, LIO-SAM, Point-LIO, RT-LOAM, Cartographer: mapping quality, CPU usage, best-fit scenarios.
Read More →LiDAR mounting for humanoid robots: head vs waist. M360 70° FOV, IP67, dual-echo performance in waist-mount config.
Read More →Indoor AGV pitfalls outdoors: rain noise, high temp power loss, dust. M360 dual-echo rain resistance, 60°C operating temp, IP67 dust protection.
Read More →See M360 product performance and applications in action