The RoboSense M1 Plus is the world’s first intelligent variable-focus automotive-grade solid-state LiDAR. Designed for high-precision and high-reliability autonomous driving applications, it features 200m detection range, Class 1 eye safety, and ultra-high point cloud performance of up to 1,575,000 pts/s in dual return mode. With advanced AEC-Q100 certified SoC and ISO 26262 ASIL-B functional safety compliance, the M1 Plus is ideal for complex urban environments and highway scenarios.
Key Features
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200m max range, 180m @ 10% reflectivity target (NIST standard)
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High resolution with 0.2° × 0.1° angular precision
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Up to 1,575,000 pts/s, ultra-dense point cloud for accurate object recognition
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Wide FOV: 120° horizontal × 25° vertical coverage
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Typical range accuracy: ±5 cm
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High frame rate: 10Hz / 20Hz for flexible applications
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AEC-Q100 & ISO26262 certified, automotive-grade reliability
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Ingress protection: IP67 & IP6K9K, built for extreme weather
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Wide operating temperature: -40°C ~ +85°C
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Compact size: 111 × 110 × 45 mm, easy to integrate
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Low latency UDP data output via 1000Base-T1 Ethernet
Technical Specifications
| Parameter | Specification |
|---|---|
| Laser Wavelength | 905nm |
| Horizontal FOV | 120° |
| Vertical FOV | 25° |
| Angular Resolution (H/V) | Avg. 0.2° / Avg. 0.2° (ROI: Avg. 0.1°) |
| Frame Rate | 10Hz / 20Hz |
| Range | 200m (180m @10% NIST) |
| Range Accuracy | ±5cm |
| Blind Spot | ≤ 0.5m |
| Output (Points/sec) | 787,500 pts/s (Single), 1,575,000 pts/s (Dual) |
| Ethernet | 1000Base-T1 |
| Protocol | UDP packets over Ethernet |
| UDP Content | Spatial Coordinates, Intensity, Timestamp, etc |
| Power Consumption | 15W |
| Operating Voltage | 9 – 16V |
| Operating Temp | -40°C ~ +85°C |
| Storage Temp | -40°C ~ +105°C |
| Time Synchronization | gPTP |
| Ingress Protection | IP67, IP6K9K |
| Dimensions (W×D×H) | 111 × 110 × 45 mm |
| Weight (w/o cable) | 690g ± 20g |
Applications
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Autonomous driving (L2+ to L4)
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Smart transportation systems
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Urban mobility mapping and localization
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ADAS and automotive perception modules
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Roadside sensing in smart city deployments