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Emesent

Emesent is a world-leader in drone autonomy, LiDAR mapping, and data analytics. Founded in 2018, Emesent has since built a reputation for delivering high-quality data capture in the mining, infrastructure, survey, and mapping industries.

Hovermap, is a smart mobile scanning unit that combines advanced collision avoidance and autonomous flight technologies to map hazardous and GPS-denied environments. Equally capable above ground or underground, indoors, or out, Hovermap is your complete mobile LiDAR mapping solution.

Hovermap’s quick release mechanism makes it easy to switch from a drone flight to a walking scan, enabling the collection of critical data both in the air and on the ground, with the ability to automatically merge the results. Weighing only 1.8kg, it is easily portable and compatible with smaller drones such as the DJI M210.

With this powerful combination you’ll be on your way to capturing LiDAR data like never before.

AUTONOMOUS RAPID SCANNING

Collision avoidance

Hovermap acts as a virtual safety bubble around the drone to prevent collisions. LiDAR data is processed on-board in real-time to produce a local 3D map of the surroundings

Obstacles such as telecom towers, fences, trees, poles, wires, and people can all be detected and avoided.

SLAM based 3D mapping

World leading Simultaneous Localisation and Mapping (SLAM) allows mobile mapping even when GPS is unavailable.

GPS-denied flight

Drones usually rely on GPS for localisation, navigation, and flight control. Hovermap uses LiDAR data and advanced algorithms on-board in real-time to provide reliable and accurate localisation and navigation without the need for GPS.

This allows drones to fly autonomously in GPS-denied environments, enabling a host of new applications such as flying and mapping in underground mines, inside warehouses or inspecting underneath bridges.

Unique Design

Hovermap has been designed to allow users to switch easily from a drone to a walking scan enabling the collection of critical data in challenging areas.