RoboSense M1 Plus 200m Automotive-Grade MEMS Solid-State LiDAR
.m1plus-faq details{border-bottom:1px solid #e6eef8;padding:14px 0}.m1plus-faq summary{list-style:none;cursor:pointer;font-weight:700;position:relative;padding-right:30px}.m1plus-f aq summary::-webkit-details-marker{display:none}.m1plus-faq summary::after{content:"";position:absolute;right:8px;top:50%;width:8px;height:8px;border-right:2px solid #007fff;border-bottom:2px solid #007fff;transform:translateY(-65%) rotate(45deg)}.m1plus-faq details[open] summary::after{transform:translateY(-35%) rotate(225deg)}.m1plus-faq p{margin:12px 0 0;line-height:1.65} .oe-rs-refined{max-width:100%;min-width:0;} .oe-rs-refined .oe-rs-row{display:grid;grid-template-columns:minmax(0,1fr) minmax(0,1fr);gap:20px 24px;align-items:start;margin:22px 0 28px;} .oe-rs-refined .oe-rs-row>div{min-width:0;margin:0;align-self:start;} .oe-rs-refined .oe-rs-row h2,.oe-rs-refined .oe-rs-row h3{margin:0 0 12px;} .oe-rs-refined .oe-rs-row p:last-child{margin-bottom:0;} .oe-rs-refined img{max-width:100%;height:auto;object-fit:contain;} .oe-rs-refined .oe-rs-row img{display:block;width:100%;height:auto;object-fit:contain;margin:0;position:static;} .oe-rs-refined .oe-rs-caption{margin:9px 0 0;} .oe-rs-refined .oe-rs-table{max-width:100%;min-width:0;overflow-x:auto;} .oe-rs-refined table{width:100%;border-collapse:collapse;} .oe-rs-refined th,.oe-rs-refined td{padding:11px 13px;border:1px solid #dce5ea;text-align:left;vertical-align:top;} .oe-rs-refined th{background:#f4f8fa;} .oe-rs-refined .oe-rs-comparison{min-width:580px;} .oe-rs-refined .oe-rs-packing{min-width:540px;} .oe-rs-refined .oe-rs-packing th{text-align:center;} .oe-rs-refined .oe-rs-packing td{font-weight:inherit;white-space:normal;} .oe-rs-refined .oe-rs-packing .oe-rs-sku{width:29%;vertical-align:middle;overflow-wrap:anywhere;} .oe-rs-refined a{color:#007fff;font-weight:700;} .oe-rs-refined .video-wrap{width:100%;max-width:100%;height:auto;aspect-ratio:auto;margin:20px 0;border:0;border-radius:0;overflow:visible;background:transparent;} .oe-rs-refined iframe[src*="youtube"]{display:block;width:100%;max-width:100%;height:auto;aspect-ratio:1080/580;margin:20px 0;border:0;} .oe-rs-refined .oe-rs-faq details{padding:15px 0;border-bottom:1px solid #e0ebf0;} .oe-rs-refined .oe-rs-faq summary{position:relative;list-style:none;cursor:pointer;font-weight:700;padding-right:34px;} .oe-rs-refined .oe-rs-faq summary::-webkit-details-marker{display:none;} .oe-rs-refined .oe-rs-faq summary::after{content:"";position:absolute;right:9px;top:50%;width:8px;height:8px;border-right:2px solid #007fff;border-bottom:2px solid #007fff;transform:translateY(-65%) rotate(45deg);} .oe-rs-refined .oe-rs-faq details[open] summary::after{transform:translateY(-35%) rotate(225deg);} .oe-rs-refined .oe-rs-faq p{margin:12px 0 0;} @media(max-width:700px){.oe-rs-refined .oe-rs-row{grid-template-columns:minmax(0,1fr);gap:16px;}.oe-rs-refined .oe-rs-table{width:100%;}.oe-rs-refined .oe-rs-row h2,.oe-rs-refined .oe-rs-row h3{margin-top:0;}} RoboSense M1 Plus is an automotive 2D MEMS solid-state LiDAR for forward perception, ADAS development and autonomous-driving research. It combines a 200 m maximum measurement range, 180 m ranging at 10% NIST reflectivity and up to 1,575,000 pts/s in dual-return mode. Its adaptive GAZE function increases vertical sampling density within a region of interest rather than applying the finest resolution across the entire field of view. Built around 2D MEMS scanning, the RoboSense M1 Plus solid-state LiDAR is designed for forward perception in intelligent vehicles. Its long-range measurements support development teams working on obstacle detection, road-scene understanding and camera-LiDAR fusion. The available 12V and 24V configurations let integrators select the product and accessories for their vehicle platform. Features 200m max range, 180m @ 10% reflectivity target (NIST standard) Adaptive angular resolution - Average 0.2° x 0.2° sampling, with average 0.2° x 0.1° resolution in the ROI. Up to 1,575,000 pts/s, ultra-dense point cloud for accurate object recognition Wide FOV: 120° horizontal × 25° vertical coverage Typical range accuracy: ±5 cm 10 Hz scanning - The current production specification provides a 10 Hz frame rate for forward-scene acquisition. Automotive development platform - RoboSense identifies AEC-Q100 qualification for the MEMS scanning module and ASIL B functional-safety certification for the M platform. Ingress protection: IP67 & IP6K9K, built for extreme weather Wide operating temperature: -40°C ~ +85°C Compact size: 111 × 110 × 45 mm, easy to integrate Low latency UDP data output via 1000Base-T1 Ethernet Smart GAZE and Point Cloud Performance Adaptive Resolution for the Region of Interest GAZE concentrates vertical sampling within a region of interest, reaching 0.1-degree vertical resolution there. This denser sampling helps reveal distant obstacles. The comparison shows the difference between GAZE on and off, making the change in point-cloud detail easier to assess. Point Clouds for Challenging Road Scenes RoboSense demonstrates its point-cloud processing across different targets and scenes. These sequences offer a practical view of the sensor output for engineers evaluating obstacle shape and scene detail alongside headline range and resolution figures. Automotive Development The manufacturer describes AEC-Q100 qualification for its MEMS mirror module, built-in self-test and real-time monitoring. Its M1 Plus page also identifies IEC 60825-1 Class 1 eye safety. These are component and product design characteristics to consider during vehicle integration. Using M1 Plus in a Perception Project For ADAS and autonomous-driving research, front-facing depth data can help a perception stack separate nearby road geometry from more distant obstacles. Engineers can evaluate how target size, reflectivity and range affect the available point-cloud detail, then use those observations when developing object-detection and tracking algorithms. In camera-LiDAR fusion, the LiDAR measurements provide spatial information to complement camera imagery. A useful evaluation workflow aligns timestamps and coordinate frames, checks calibration on known objects and compares the fused result over repeated driving sequences. This is a system-integration task for the host platform. For mapping, localization and roadside perception experiments, plan sensor orientation and overlap around the area being observed. Record representative scenes so that filtering, segmentation and motion-estimation changes can be compared on the same data. The official PCAP and driver guides below support this development workflow. 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 10 Hz Range 200m (180m @10% NIST) Range Accuracy +/-5 cm, tested with a 50% NIST diffuse-reflectance target; performance depends on environmental conditions, distance and target reflectivity 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 15 W, tested at 10 Hz and within 100 m; operating conditions affect consumption Operating Voltage 12 V version: 9-16 V DC. Select the matching sensor and accessories for the separate 24 V option; do not apply the 12 V input range to the 24 V version. Operating Temp -40 to +85 degrees C; solar load, airflow and other installation conditions apply Storage Temp -40°C ~ +105°C Time Synchronization gPTP Ingress Protection IP67, IP6K9K Dimensions (D x W x H) 111 × 110 × 45 mm Weight (w/o cable) 690g ± 20g Typical range precision 5 cm Laser safety Class 1 eye-safe Product Comparison M1 Plus and M2 share RoboSense's M-platform approach and published housing dimensions. M2 is a close reference for teams evaluating longer reach and denser horizontal sampling; matching housing dimensions alone does not establish electrical, firmware or software interchangeability. Parameter RoboSense M1 Plus RoboSense M2 Available M1 Plus sensor SKUs RS-M1P-12RS-M1P-24 M2 platform reference Maximum range 200 m 250 m Range at 10% reflectivity 180 m 200 m Average angular resolution (H x V) 0.2° x 0.2° 0.1° x 0.2° Average ROI angular resolution (H x V) 0.2° x 0.1° 0.1° x 0.1° Single-return point rate 787,500 pts/s 1,575,000 pts/s Dimensions (D x W x H) 111 x 110 x 45 mm 111 x 110 x 45 mm Scanning platform 2D MEMS, M platform 2D MEMS, M platform Connection and Documentation The official download center lists M1 Plus Users Guide v1.3.0 EN, the M1 and M1 Plus brochure, and RSView for Windows 10 and Ubuntu 18/20. Downloads require the manufacturer's request form. Match the 12V or 24V sensor, harness and interface equipment to the selected package. For software development, RoboSense's rs_driver handles packet decoding and its rslidar_sdk supplies ROS and ROS 2 integration. Their M1-family configuration must match the supplied sensor's packet format; use the model, network and timestamp settings documented for that unit. Applications Autonomous driving (L2+ to L4) Forward 3D perception can support obstacle detection and scene understanding in autonomous-driving research. GAZE sampling can be evaluated within the region of interest; the complete vehicle must supply localization, planning and control. Smart transportation systems Fixed installations can supply geometric measurements for traffic-scene analysis. Assess occlusion, mounting orientation and the observation area before developing tracking or traffic-analysis software. Urban mobility mapping and localization Record repeatable routes for point-cloud registration, map comparison and localization experiments. Align sensor coordinates and timestamps with the motion and positioning information used by the host system. ADAS and automotive perception modules Use the 200 m maximum range and documented ROI scan pattern as planning inputs for camera-LiDAR fusion and object-detection development. Evaluate target reflectivity, point density and latency on the installed sensor. Roadside sensing in smart city deployments A forward-sector LiDAR can monitor a defined section of road or intersection. Coverage planning and multi-sensor overlap are important where road geometry or infrastructure obstructs the sensor view. Reference Documents Documents and Manuals OpenELAB M1 Plus Wiki M1 Plus Brochures, User Guides and RSView Downloads CAD and Certification M1P_Certification.zip Driver Parameters and M-Series Model Selection Software and Development RoboSense LiDAR Driver ROS and ROS 2 SDK SDK Release Downloads Live Point Cloud Decoding Guide PCAP Replay Guide Packing List SKU Item Quantity RS-M1P-12 RoboSense M1 Plus (12 V) LiDAR 1 RS-M1P-24 RoboSense M1 Plus (24 V) LiDAR 1 RS-M1P-12V-ACC Ethernet Power Cable 1 Power Adapter 1 Power Cable 1 E1R Power Interface Box 1 RJ45 Ethernet Cable 1 M4 Screws 6 RS-M1P-24V-ACC Ethernet Power Cable 1 Power Adapter 1 Power Cable 1 E1R Power Interface Box 1 RJ45 Ethernet Cable 1 M4 Screws 6 RS-M1P-12-Kit RoboSense M1 Plus (12 V) LiDAR 1 3.5m Ethernet Power Cable 1 Power Adapter 1 Power Cable 1 E1R Power Interface Box 1 RJ45 Ethernet Cable 1 M4 Screws 6 RS-M1P-24-Kit RoboSense M1 Plus (24 V) LiDAR 1 8m Ethernet Power Cable 1 Power Adapter 1 Power Cable 1 E1R Power Interface Box 1 RJ45 Ethernet Cable 1 M4 Screws 6 FAQ What is the RoboSense M1 Plus used for? M1 Plus is an automotive solid-state LiDAR for forward 3D perception. It can supply depth measurements to an ADAS or autonomous-driving development system. What does the smart GAZE function do? GAZE increases vertical sampling density within a region of interest, reaching 0.1-degree vertical resolution in that region. The official comparison above shows GAZE enabled and disabled. Does 0.1-degree resolution apply to the whole field of view? It refers to the vertical resolution in the GAZE region of interest. Keep this distinction when comparing sensors or evaluating small-object point clouds. What does the published 200m range mean? RoboSense lists a maximum range of 200m and 180m on a 10% reflectivity target. Detection distance varies with the target and measurement conditions. Are the 12V and 24V options interchangeable? Select the sensor and accessory kit for the intended voltage configuration. Use the electrical requirements of that exact version when choosing the power supply and harness. Does the Accessory Kit option include a LiDAR? The Accessory Kit is separate from the sensor-only option. Select LiDAR with Accessory Kit when you require the combined package; the original Packing List above details its contents. Where are the English user guide and RSView software? The official M1 Plus download center lists the English M1 Plus Users Guide v1.3.0, the M1 and M1 Plus brochure, and RSView packages for Windows and Ubuntu. Its downloads require the manufacturer's form. Which official resources cover ROS and ROS 2 development? RoboSense publishes rslidar_sdk for ROS and ROS 2, with rs_driver as its driver core. The repositories list M1 support; select the decoder and packet configuration applicable to your M1 Plus unit. Can recorded point clouds be replayed during development? The official driver documentation covers PCAP decoding and replay. This lets developers compare processing changes using a recorded sequence rather than repeating a live capture each time. Does the LiDAR perform complete autonomous driving by itself? It supplies sensing data to a larger system. Object interpretation, sensor fusion, localization, planning and vehicle control are functions of the surrounding software and vehicle platform.
