Launched in February 2022, the Hovermap ST is the newly improved version of the original Hovermap, setting a new standard in autonomous survey-grade LiDAR mapping systems.
Candrone is an authorized Emesent Hovermap ST dealer for North America, contact us to learn how the Hovermap can improve your LiDAR workflow.
The tap-to-fly autonomy feature allows you to autonomously navigate inaccessible environments beyond the line of sight and communication range. In addition, the Hovermap ST utilizes the LiDAR data to actively provide collision avoidance, guided exploration, and smart return-to-home in underground environments where there is no GPS.
The new IP65 weather-sealed design enables you to map and navigate even more challenging environments. Fly and scan longer than before with a compact and lightweight design.
The Hovermap ST produces highly accurate LiDAR maps for engineering, surveys, or inspection applications powered by an industry-leading SLAM algorithm. In addition, the new automated ground control feature in the Emesent software makes it easier than ever to capture dense shadowless survey-grade point clouds. Place surveyed Emesent’s ground control targets in your scan area, and the software will automatically detect and apply a transformation to the point cloud.
Go from aerial scanning to mobile scanning in seconds.
• Drone enabled
• Vehicle mounted
• Backpack mounted
• Walking scans
The Hovermap ST will serve as an Omnidirectional collision avoidance system that essentially creates a safety bubble around your drone in a GPS-denied environment—preventing collision with assets during a line of sight flight operation.
Tap-to-fly enables beyond visual line-of-sight (BVLOS) navigation and mapping of inaccessible areas. This capability allows for autonomous navigation and mapping with a simple tap on the map generated by the Hovermap in real-time while protecting the system from a collision. For example, smart return-to-home capability typically requires GPS to navigate back; the Hovermap can return to home autonomously using the SLAM and LiDAR technology.