The TeraRanger Tower is a simultaneous multiaxis scanner capable of replacing traditional laser LiDAR scanners in some applications. It is totally silent and has zero moving parts, resulting in greater efficiency and reliability.
It combines 8 TeraRanger One sensors and the TeraRanger Hub to create a lightweight, fully eye-safe scanner for Simultaneous Localisation and Mapping (SLAM) and collision avoidance on fast-moving ground and airborne robots. Calibrated distance data is streamed from a USB or UART port as an array of synchronised distances, in millimeters.
TeraRanger Tower is sold as a self-assembly kit and takes less than 10 minutes to build. A tutorial video and user manual are available on our website, and a scan format ROS (Robot Operating System) node will get you up and running quickly.
A free Windows GUI is also available, allowing you to to see graphically the distance values being obtained and set certain sensor parameters with a just a few mouse clicks.
Range: Up to 14m (reduced range in sunlight)
Update rate: Fixed 270 Hz in fast mode and up to 270 Hz in precision mode
Range resolution: 0.5cm
Accuracy: 4cm in precision mode
Field of view: 3 for each sensor, 45 between sensor axis
Supply voltage: 12V DC recommended (10-20V accepted)
Supply current: 345mA @12V in general environment
Design, Dimensions and Weight:
Size: Diameter 150mm x H 45mm
Weight: 130g fully assembled with 8 sensors
Interface 1: UART, +3.3V level, 921600,8,N,1. Connector: 4 pin Molex Picoblade
Interface 2: Micro-USB port (2.0)
Expansion: 4 pin Molex Picoblade connector for Can bus +5V level. (Requires firmware development. Please contact us if you are interested in this)
More inforation can be found at http://www.teraranger.com/teraranger-tower/. Included is a quick video demonstration of Simultaneous Localisation And Mapping.
Terabee was born to transform the measurement sensing for robotics and drones and took advantage of a long-term collaboration with CERN (The European Center for Nuclear Research) to try addressing robotic autonomous navigation problems. Approaching things from a different angle, rather than using a very large number of data points for mapping and navigation (heavy data processing – typical of stereo vision and derivatives) we use fewer data points but with faster reading rates resulting in higher reliability. The result is simplified technology (with far less processing) built to address the difficulties of positioning, mapping and navigation of fast-moving ground and airborne robots.