Hovermap autonomous GPS denied LiDAR mapping

Hovermap autonomous GPS denied LiDAR mapping

Hovermap offers revolutionary efficiency, safety and operational insights to challenging above ground, underground and GPS-denied environments.

It provides collision avoidance, GPS-denied flight, advanced autonomy and SLAM-based LiDAR mapping. This allows a Hovermap-enabled drone to be deployed in challenging GPS-denied environments, to collect 3D and other data which was previously impossible to collect. This new data in turn leads to new insights.

Australian tech start-up Emesent announced today at the International LiDAR Mapping Forum (ILMF) in Denver-CO, the commercial availability of their revolutionary Hovermap™ drone payload, which dramatically improves the value of drone-based asset inspection and mapping.

Hovermap is a self-contained plug-and-play payload which is easily integrated into a range of drones to provide them with advanced capabilities.

It includes omni-directional LiDAR-based collision avoidance and GPS-denied flight, allowing drones to be flown safely underground, indoors or up close to structures to inspect and map them.

Hovermap also provides world-leading SLAM (Simultaneous Localisation and Mapping) capability, allowing accurate LiDAR mapping even when GPS is not available.

Speaking at ILMF, Emesent CEO and Co-Founder Dr Stefan Hrabar highlighted the unique value that Hovermap offers:

“Hovermap is the first drone payload of its kind, using LiDAR to provide both mapping and autonomy functions. It allows drones to fly autonomously even in GPS-denied environments to collect valuable data that was not previously possible. This provides a step change in the data collection possibilities for Mining, Energy, Construction, Asset Management and many more”.

“There is increasing demand for these industries to digitise and remotely inspect their assets but access to hazardous areas and the lack of GPS has been a limiting factor until now. Hovermap’s unique capabilities are helping to overcome these hurdles”, says Dr Hrabar.

Hovermap keeps the drone a safe distance from assets while mapping them in great detail. Bridges, telecom towers, power transmission towers and industrial plant interiors are just a few examples that can now be mapped and inspected safely.

In the underground mining industry, Hovermap allows the mapping of hazardous inaccessible areas such as stopes and ore passes.

According to Dr Hrabar, “sending in a Hovermap-enabled drone to autonomously map and explore these areas keeps the surveyors safe and provides data at unprecedented resolution and quality. This data provides new valuable insights, leading to productivity gains and increased safety from better understanding of the geology”.  

The commercial launch comes after more than five years of R&D by world-leading researchers in drone autonomy and SLAM-based LiDAR mapping, as well as extensive testing over the last 18 months by early adopters in the US, Canada, Australia, China and Japan.

Matt MacKinnon of Canadian-based UAS Inc. explains: “We’ve been using Hovermap to fly into inaccessible areas of underground mines to map them. We’ve conducted more than 60 commercial flights in 12 mines, capturing extremely valuable data for our clients without putting humans at risk. Hovermap truly is a game-changer for underground mining and other GPS-denied environments”.

Mr Shinji Inaba, president of Mirukuru Co., said that “they are proud to have been an early adopter of Hovermap since April 2017 and they are now an Emesent distributor in Japan”.

“We’ve been testing and demonstrating Hovermap extensively to enterprise customers in energy, construction, telecom, rail and road, forestry etc. Hovermap’s unique features have led to significant demand and we’re excited to be fulfilling our first purchase orders now that Hovermap is commercially available”, says Mr Inaba.

Mapping Specifications

  • Lidar range: Up to 100m
  • Lidar accuracy: +/- 3cm
  • Angular field of view: 360° x 360°
  • Laser safety: class Class 1 eye safe
  • Data acquisition speed: 300,000 points/sec
  • File size: ~300MB/min
  • Point cloud file format: .laz, .ply
  • Input voltage: 12 – 50V (e.g. 4s LiPo)
  • Weight: 1.8 kg
  • Quick-release mounting mechanism: Yes
  • Set-up time (ready to fly and map): < 1min

Autonomy Specifications

  • Flight Modes: Non-GPS position hold and Assisted Flight
  • GPS-Denied Flight: Yes
  • Autopilot Compatibility: DJI A3
  • Collision Avoidance field of view: 360° x 360°
  • Collision Avoidance Sensor: 100m range Lidar
  • Adjustable Minimum Collision Avoidance Distance: Yes


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