Slamtec Mapper M1M1 ToF Laser Scanner Kit (20m)

• Slamtec Mapper M1M1 ToF Laser Scanner Kit (20m)
• Offers large scenarios and high-quality mapping
• Built-in WiFi, Ethernet port for easy communication
• Provides tilting compensation and fast-moving
• Fully compatible with ROS and easy data analysis
• Plug and play, without any external dependence

The Slamtec Mapper M1M1 ToF Laser Scanner Kit (20m) is a new type of laser sensor introduced by SLAMTEC, which is different from traditional LIDAR.

It has built-in functions of simultaneous localization and mapping (SLAM) and is suitable for many applications such as robot navigation and positioning, environmental mapping, and hand-held measurement.

The M1M1 can detect up to 20 meters with a 5cm resolution and the re-localization accuracy is less than 0.02 m. Such high-performance thanks to the SLAMTEC third-generation SLAM engine.

On top of that, SLAMTEC M1M1 is quite easy to use, there is no need for any external dependency, just connect it with your computer via the USB cable, it will work then.

The M1M1 comes with SLAMTEC full cross-platform SDK and tools for both mobile phones and PC. The mapper is an ideal choice for users to realize mapping and re-localization in various complicated scenarios and output map and localization data that meets users' expectations.

Slamtec Mapper adopts a SLAMTEC third-generation high-performance SLAM graph optimization engine and SharpEdge mapping technology to realize a high accurate thousand-square-meter map building and real-time localization, and it can actively detect the closed-loop and correct map.

With the built-in inertial navigation system with nine degrees of freedom, Slamtec Mapper can work properly in tilting and shaky hand-held mode and ensure an excellent map data quality. In addition, it supports moving fast with a maximum speed of 1 m/s.

In addition to its own mapping and localization functions, Slamtec Mapper can also be used directly as a LiDAR sensor. Via the SDK or ROS node, you can quickly send the LiDAR data to your existing system.