PRODUCT INTRODUCTION

The Intelligent Perception and Control Laboratory of Unmanned Systems at Northwestern Polytechnical University (NPU) has launched a real-time map reconstruction system for cluster UAVs, which uses map reconstruction and deep learning technology to support offline, real-time 2D and 3D map reconstruction. The system provides rapid environmental information acquisition, analysis and decision support for agriculture, emergency fire protection and public safety inspection.

PRODUCT FEATURES

Visual SLAM

Cooperative Operation

Instant Mapping

Autonomous Planning Path

Elastic Intelligent Scheduling

Automatic Marking Up

Etwork Extraction

Supporting Secondary Development

Open Source Code

C++

Python

ROS

High Efficiency, Fast Speed

The difference between real-time map splicing time and real-time data acquisition time is no more than 30 seconds, which is 1-2 orders of magnitude shorter than that of traditional quick map piecing time.

Efficient Intelligence

Manage five UAVs simultaneously, support automatic route planning, with target recognition, accuracy and recall rates of no less than 85%.

Strong UAV Performance

Uavs are lightweight, low noise, low power, long endurance, low takeoff condition requirements, and strong wind resistance.

Functional Perfection

Support 3D height measurement, visibility check, zoom in and out of 3D dense point clouds and other operations, can be used for emergency rescue and other scenarios.

Open Source Code

Platform for all open source code, users are free to access, modify and extend the platform function.

Designer and manufacturer of mobile robots, shipped to over 50 countries worldwide

Multi-machine Collaborative Mapping

Platform through surveying and mapping, many sets of unmanned aerial vehicle (uav) cooperative efficiency significantly increased. Drones can simultaneously cover a larger area for efficient data acquisition and accurate recording, which is suitable for terrain mapping, agricultural monitoring and infrastructure inspection.

Real-time Mappingg

Platform to realize the “flying – while get – processing – transfer – while mapping” real-time map generation. The drone obtains images in real time while flying, and the on-board host processes the data and transmits it to the ground workstation to quickly generate a map. This solution reduces mapping time from hours to minutes, greatly improving efficiency.

PRODUCT FUNCTION

APPLICATION CASE

TECHNICAL PARAMETER

 

Specifications

Parameter

 

 

Drone Type

Quadcopter Drone

 

 

Weight

1.4kg

 

 

Take-off Weight (approx.)

3.8kg

 

 

Maximum Load

1.5kg

 

 

Diagonal Wheelbase

600mm

 

 

Wind Resistance Class

15m/s

 

 

Maximum Fight Altitude

5000m

 

 

Airborne Computing Unit

CPU

Intel i7 11th Gen

 

 

Memory

16GB

 

 

Storage

500GB

 

 

Airborne Camera

Picture Resolution

5472×3648

 

 

Video Resolution

4k,2.7k

 

 

Tripod Head

3-Axis Stabilized Tripod Head

 

 

Port

Ethernet interface

 

 

Communication Module

Transmission Delay

3ms

 

 

Communication Distance

15km

 

 

Duplex Communication Mode

TDD

 

 

Maximum Transmitting Power

30dBm

 

 

Upload Speed

400kbps

 

 

Download Speed

2.3Mbps~8Mbps

 

 

Remote Controller

Screen resolution

1920×1080

 

 

Other Function

It has the functions of UAV manual control, automatic flight planning and status display.

 

 

Network Support

Integrated IP map transmission ground end module

 

 

 

 

 

 

 

Name

Standard configuration

 

 

Drone Type

VTOL

 

 

Wingspan

2.5m

 

 

Fuselage Length

1.10m

 

 

Take-off weight

7.5kg

 

 

Cruising speed

18m/s

 

 

Wind Resistance Class

8m/s

 

 

Cruising Qind Resistance Rating

12m/s

 

 

Unladen Airtime

160min

 

 

Unladen Range

170km

 

 

Standard Load Duration

120min

 

 

Standard Load Range

120km

 

 

Airborne Real-time Puzzle Module

CPU

Intel Celeron J4125

 

 

Memory

8GB

 

 

Storage

256GB

 

 

Airborne Camera

Tripod Head

3-Axis Stabilized Tripod Head

 

 

Resolution

20 million

 

 

Video Recording

Supporting 4K

 

 

Camera Interface

Ethernet interface

 

 

Communication Module

Communication Delay

3~8ms

 

 

Communication Distance

15km

 

 

Communication Method

Supports TDD duplex communication

 

 

Maximum Transmitting Power

30dBm

 

 

Uplink Throughput Rate

115kbps

 

 

Downlink Throughput Rate

2.3Mbps~13.3Mbps

 

 

 

 

 

 

 

Rotor Plate

Fixed-wing Plate

Cluster Plate

Command Drones Amount

/

1

1

Quadcopter Drone Amount

1

/

4

Ground Station

CPU

Intel Core i7 10th Processor

GPU

NVIDIA GeForce GTX 1650

Memory

16GB

Storage

512GB

Screen Size

15.6 inch

Screen Resolution

1920×1080

RS-URSD

Unmanned Aerial Vehicle Real-time Map Mapping System

$9999

only

The price is for reference only, and the actual price is subject to settlement.