Emesent’s award winning Hovermap is a drone autonomy and LiDAR mapping payload that uses LiDAR data and advanced algorithms to generate accurate 3D point clouds of the scanned environment, as well as automate the drone flight even when GPS is not available.
Participants must tackle time critical scenarios in a series of unknown courses, in unpredictable conditions, using a collection of robots and sensors for which they are required to supply software and algorithms.
New investment will build on Emesent’s success with major mining customers such as BHP and Glencore, expanding the use case for autonomous drone technology in defence
Emesent has been announced as a finalist for the Greyhound Innovation (METS) Award in 2020’s Queensland Mining Awards.
Emesent has allowed DJI’s M300 drone to fly autonomously underground in what’s believed to be a world first for the platform.
Unmanned Aerial Services (UAS) specializes in providing drone-based visual inspections and laser scanning of inaccessible environments—confined spaces, such as storage tanks, other hard to access areas, or in underground mines.
Global technology company Emesent has partnered with leading software developer Deswik to enable mining companies to incorporate high quality data captured in inaccessible locations into their mine plans and surveys. Emesent is a leader in drone autonomy, LiDAR mapping, and data analytics. Founded in 2018, Emesent has since built a reputation for delivering high-quality data…
Building on Emesent’s cutting-edge Hovermap simultaneous localisation and mapping (SLAM) autonomous flight system, AL2 enables compatible drones to fly beyond communications range and venture beyond line of sight into unmapped areas.
Hovermap is being used to supercharge the Matrice 300 RTK (M300) next generation industrial drone from market leading manufacturer DJI.
ARLINGTON, Va. — Emesent has been named as a finalist in the XCELLENCE in Innovation category of the XCELLENCE Awards by the Association for Unmanned Vehicles Systems International (AUVSI).
