HOVERMAP™

AUTONOMOUS AND VERSATILE, THE SLAM-BASED MAPPER MAKING DATA CAPTURE FAST AND SIMPLE
Emesent Hovermap Payload

Hovermap is a smart mobile scanning unit that can be mounted to a drone to provide autonomous mapping in challenging, inaccessible areas.

Hovermap is not only for drone use, its flexible design allows it to be used for walking, vehicle or backpack-mounted scans.

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 (4 lb), 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

ADAPTABLE TO ANY ENVIRONMENT
Collision avoidance

Hovermap acts as a virtual safety bubble around the drone to prevent collisions. LiDAR data is processed onboard 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

Hovermap uses Simultaneous Localization and Mapping (SLAM) algorithms enabling
mobile mapping and autonomous drone flight even when GPS is unavailable. Using Emesent’s proprietary calibration and drone autonomy algorithms, it is built on CSIRO’s Wildcat SLAM Solution.

GPS-denied flight

Drones usually rely on GPS for localization, navigation and flight control. Hovermap uses LiDAR data and advanced algorithms onboard in real-time to provide reliable and accurate localization 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.

THE HOVERMAP™ PAYLOAD

Hovermap is lightweight, and yet robust enough to withstand the demands of environments such as underground mines. Made from a machined aircraft-grade aluminum frame combined with carbon fiber composite paneling, the Hovermap payload is light yet strong enough to support its rotating LiDAR while remaining stable in flight. Switching between drone to walking scans can be done with the click of a button using Hovermap’s quick-release mechanism.

OPTIONS FOR EVERY SCANNING NEED

AUTONOMY LEVELS

AUTONOMY LEVEL 0

MAPPING MODE

  • Provides SLAM-based mobile mapping
  • Carry Hovermap or mount it to a drone or vehicle
  • Use with our backpack, cage or vehicle mount accessories
AUTONOMY LEVEL 1

PILOT ASSIST MODE

  • LiDAR-based omnidirectional collision avoidance
  • GPS-denied position hold and velocity control
  • Enables safe line-of-sight flight indoors, underground or close to structures
  • Includes all AL0 features
AUTONOMY LEVEL 2

AUTONOMOUS WAYPOINTS

  • Enables beyond line-of-sight autonomous flight in GPS-denied environments
  • Live 3D map streamed to tablet
  • Tap-to-Fly: set smart waypoints using the live map
  • Includes all AL1 features
Emesent Hovermap Payload

PRODUCT SPECS

Hovermap™

Optimized for underground and vertical asset inspection.

Specifications

Flight Modes

Pilot Assist: Non-GPS flight, position hold and assisted flight, collision avoidance, regulated flight speed.
Autonomous Waypoint Mode: Autonomous navigation to waypoints

AL2 waypoint types

2D, 3D, planar, height

AL2 navigation modes

Guided exploration, local and global path planning

Autopilot Compatibility

DJI, ArduPilot (Acecore Zoe)

Omnidirectional collision avoidance

360° x 360°; range 1.2 to 40 m; size of an obstacle over 2 mm wire

Included Accessories

Handle
Universal carbon fiber mounting plate with appropriate drone mount

Optional Accessories

Colorization kit (hardware and software) Vehicle mounts
Protective cage
Hard case backpack

SLAM Mapping

Simultaneous Localization and Mapping (SLAM) based LiDAR mapping +/- 0.03% drift

LiDAR range

0.40m to 100m

LiDAR accuracy

+/- 30 mm

Mapping accuracy

+/- 20 mm in general environments
+/- 15 mm in typical underground and indoor environments
+/- 5 mm for close-range scanning

Angular field of view

360° x 360°

LiDAR Data acquisition speed

Single Return Mode: up to 300,000 points/sec
Dual Return Mode: up to 600,000 points/sec

Maximum data capture traveling speed

Vehicle: 40 km/h; flight: 5 m/s above ground, 2 m/s underground or confined spaces

Start / stop scanning while in motion

Yes

Outputs

Full resolution point cloud, decimated point cloud, trajectory file

Point cloud file format

.las, .laz, .ply, .dxf

Point cloud attributes

Intensity, range, time, return number (strongest & last) and ring number

Processing parameters

Pre-set profiles with 20+ adjustable parameters

USB 3

High-speed data offload

Storage

480 Gigabytes – approximately 12 hours of sensor data

Operating temperature

0 to 50 °C (32 to 122 °F)

Weight

1.8 kg (4 lb)

Input voltage

12 - 50 V, powered from a battery or auxiliary power input

Deployment

Drone / UAV, backpack, vehicle, tether, ground robot

Quick-release mounting mechanism

Yes

Supported drones

DJI M210, DJI M300, Acecore Zoe

COLORIZATION

FOR HOVERMAP™

Add a new level of reality capture to your 3D point clouds.

Colorization provides greater insights across a variety of applications, revealing previously hidden details in your critical infrastructure.

Colorized Building Scan

Rock Face Colorized Point Cloud

Colorized Underground Mine Scan

Indoor Colorized Point Cloud

FLY THROUGH

A HOVERMAP™ DATASET

Seeing is believing! Try Hovermap for yourself and see the detailed data it pulls from its scans.

CONTACT US TO LEARN MORE

We offer tailored solutions based on your needs. You can purchase the payload only or a packaged solution that includes hardware, software, analysis and training.