Description
Description
Autonomous & versatile, the slam-based mapper making data capture fast & simple
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.
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.
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.
Autonomy
Level 0 |
Level 1 |
Level 2 |
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Key Features
- Rapid Scanning
- Collision Avoidance
- GPS-Denied Flight
- Slam-based 3D Mapping
Specifications
LiDAR range | Up to 100 |
LiDAR accuracy | +/- 3cm |
Global SLAM accuracy | +/1 0.1% typical |
Angular field of view |
360° x 360° |
Data acquisition speed |
300,000 points/sec |
File size |
~300MB/min |
Flight speed |
Up to 5m/s (scene dependent) |
Laser safety class |
Class 1 eye safe |
Power |
Max. 90 W |
Input voltage |
12 – 50 V (e.g. 4s LiPo) |
Weight | 1.8 kg |
Autonomy Specifications
Flight Modes |
Manual Pilot Assist |
Autopilot Compatibility |
DJI A3 |
Collision Avoidance field of view |
360° x 360° |
GPS-denied flight |
Yes |
Commercial Financing Available
5.99% AOC | Up to 100% financing |
36 month term | Approved within 48 hours |
No hidden fees | Cost treated as opex |
Payment & Security
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