Foxtech Provides Industrial Drone Solutions & UAV Payload Systems.
Indoor Research Drone 3D LiDAR Quad-Vision 320 Wheelbase SU17
The SU17 is a compact and integrated research drone system built for high stability and robust performance.
By uniting the flight control unit, onboard processor, quad-vision SLAM camera setup, gimbal system, and data link into a streamlined structure, it ensures greater operational reliability.
Version：SU17
Type： Quadcopter
Take-off Weight：Approx. 2.3 kg (with protective cover and battery)
Diagonal Wheelbase：320 mm
Dimensions：442 mm (L) × 388 mm (W) × 174 mm (H) (without protective cover)
Maximum Payload：200 g
Wind Resistance：Level 4
5.0
design customization
Please fill out the form below to request a quote or to request more information about us. Please be sure to upload customized requirement documents or pictures, and we will get back to you as soon as possible with a response. we're ready to start working on your new project, contact us now to get started.
Please fill out the form below to request a quote or to request more information about us. please be as detailed as possible in your message, and we will get back to you as soon as possible with a response. we're ready to start working on your new project, contact us now to get started.
SU17
The SU17 is a compact and integrated research drone system built for high stability and robust performance.
Specification
SU17
On-board Computer & Power Battery
Remote Controller & Gimbal & Data Transmission Module
| Version | SU17 |
| Type | Quadcopter |
| Take-off Weight | Approx. 2.3 kg (with protective cover and battery) |
| Diagonal Wheelbase | 320 mm |
| Dimensions | 442 mm (L) × 388 mm (W) × 174 mm (H) (without protective cover) |
| Maximum Payload | 200 g |
| Hovering Endurance | Approx. 13 min (with air percentage, ≥0%) |
| 21 min with Visual Positioning (no LiDAR) | |
| Hovering Accuracy | GPS: ±1.5 m (V), ±2.0 m (H) |
| 3D LiDAR SLAM: ±0.08 m (V/H) | |
| Quad-Vision SLAM: ±0.05 m (V/H) | |
| Wind Resistance | Level 4 |
| Operating Temperature | -10°C ~ 40°C |
| Main MCU Chip | STM32H743 |
| IMU | ICM42688 / BMI088 |
| Barometer | MS5611 |
| Compass | QMC5883L |
| External Interface | USB (Type-C) |
| On-board Computer | |
| Processor | Intel Core i5-8365U |
| Memory Capacity | 8 GB |
| Memory Frequency | LPDDR3 @ 2133 MHz |
| Storage | 256 GB NVMe SSD |
| Ethernet Ports | 2 × 100 Mbps, 12V@3A, supports IEEE 1588-2008 (PTP v2) |
| Serial Ports | 2 × TTL, 5V/3.3V @ 500 mA |
| USB Ports | 2 × Type-C (1 × USB 2.0, 1 × USB 3.0) |
| HDMI | HDMI 1.4 |
| Power Battery | |
| Model | SU17-L |
| Type | High Voltage Lithium-ion Polymer Battery |
| Rated Voltage | 26.4V (Max), 21V (Min) |
| Storage Voltage | 22.8V (Typical) |
| Capacity | 6000 mAh |
| Weight | 680 g |
| Dimensions | 84.5 × 86.5 × 65 mm |
| Remote Controller | |
| Model | QE-2 |
| Number of Channels | 8 |
| Transmission Power | 18–20 dBm |
| Weight | 294.1 g |
| Gimbal | |
| Controllable Angle | -90° to +30° (Pitch Axis) |
| Streaming Type | RTSP (Commonly Used) |
| Encoding Format | H.264 |
| Resolution | 1080P @ 25fps |
| Diagonal FOV | 120° |
| Vertical FOV | 54° |
| Horizontal FOV | 95° |
| Data Transmission Module | |
| Operating Frequency Band | 2.4 GHz |
| Transmission Power | 18 dBm |
| Communication Range | 3 km (no interference) |
| 1 km (slight interference) | |
| Maximum Bandwidth | 40 Mbps |
Product Introduction
With support from its autonomous control software, SU17 enables intelligent features like object tracking, recognition, and autonomous route generation.
To enhance spatial awareness, it can be equipped with a Mid-360 3D LiDAR sensor and FAST-LIO algorithm for accurate 3D SLAM operations. Paired with EGO-Swarm algorithms, it excels at environmental mapping and live obstacle avoidance in dynamic or cluttered settings.
Purpose-built for scientific research and algorithm development, SU17 delivers superior adaptability and outstanding performance across experimental applications.
Product Details
SU17 Research Version
High-Performance Drone Platform for Scientific Research
3D LiDAR: Real-time Mapping, Precise Navigation, and Obstacle Detection
Autonomous Toolkit: Pre-built demos for smooth system integration
Industrial-Grade Platform: Robust, modular, and tailored for experimental applications
High-Performance Drone Platform for Scientific Research
3D LiDAR: Real-time Mapping, Precise Navigation, and Obstacle Detection
Autonomous Toolkit: Pre-built demos for smooth system integration
Industrial-Grade Platform: Robust, modular, and tailored for experimental applications
The SU17 research drone integrates key modules including a flight controller, onboard computer, quad-vision SLAM module, gimbal camera, and image data transmission module,ensuring robust system reliability. With Autonomous Drone Software, SU17 supports functions like target recognition and tracking, and path planning. Its Mid-360 3D LiDAR module, combined with the FAST-LIO algorithm, enables high-accuracy SLAM and environment perception. When paired with the EGO-Swarm path planning algorithm, SU17 performs real-time 3D mapping and efficient obstacle avoidance even in dynamic and complex environments.
Software Features
Built on ROS and an open-source architecture, the SU17 platform offers comprehensive features and flexible development interfaces to support rapid customization.
It also provides interfaces for positioning data, flight modes, battery status, IMU, and other drone state and sensor data, along with position, velocity, acceleration, and attitude control interfaces, accompanied by usage examples.
Additionally, the drone is equipped with an onboard flight safety check function (non-obstacle avoidance) to enable automatic landing in abnormal situations, reducing crash risks and ensuring a safer development process.
It also provides interfaces for positioning data, flight modes, battery status, IMU, and other drone state and sensor data, along with position, velocity, acceleration, and attitude control interfaces, accompanied by usage examples.
Additionally, the drone is equipped with an onboard flight safety check function (non-obstacle avoidance) to enable automatic landing in abnormal situations, reducing crash risks and ensuring a safer development process.
SpireCV Vision Library
Based on the SpireCV vision library, this is an onboard real-time image processing SDK designed for intelligent unmanned systems.
Key features include gimbal and camera control, video recording and streaming, target detection, recognition, and tracking.
Key features include gimbal and camera control, video recording and streaming, target detection, recognition, and tracking.
Ground Station
The SU17 ground control station acts as an intuitive interface for real-time drone monitoring and 3D status visualization.
Users can issue commands like initial point hovering, current point hovering, landing, and position control with a single click.
Hardware-Software Framework
Hardware Framework
Software Framework
SU17 Software System Architecture Diagram
Users can issue commands like initial point hovering, current point hovering, landing, and position control with a single click.
Hardware-Software Framework
Hardware Framework
Software Framework
SU17 Software System Architecture Diagram
Openness
Integrated solution for unmanned system
Multi-sensor Fusion Standard Quad-vision Sensor
Optional Mid-360 LiDAR Module
Hardware supports multi-sensor fusion of LiDAR, vision, and RTK
Hardware supports multi-sensor fusion of LiDAR, vision, and RTK
Multi-scenario Flight
Open Grassland
Glass Corridor
Dark Corridor
Dense Forest
Low-light Tunnel
Underground Parking Garage
Open Grassland
Glass Corridor
Dark Corridor
Dense Forest
Low-light Tunnel
Underground Parking Garage
Stable Flight Platform
Structural Overview
Heat Dissipation Design
Integrated Structure Battery
Safety Design
Quick-Release Safety Guard Cover Design
Structural Overview
Heat Dissipation Design
Integrated Structure Battery
Safety Design
Quick-Release Safety Guard Cover Design
{{item.score}} Stars
{{item.pre}}%
{{item.nickname ? (item.nickname.slice(0, 2) + '*****') : item.source === 1 ? 'mall buyer' : '--'}}
{{item.comment_time}}
Review in the {{item.country}}
{{itemAttr.params_key}}: {{itemAttr.params_value}}
Get in touch with us
just leave your email or phone number in the contact form so we can send you a free quote for our wide range of designs
Related Products
no data
Whether you are purchasing standard products or pursuing in-depth custom development, we are here to provide professional support to drive your business forward!
PRODUCTS
CONTACT US
Email: support1@foxtechuav.com
Address: No.1 Plant, HIGHLAND Industrial Park, No.35 Cai Zhi Road, Xuefu Industrial Zone, Xiqing District, Tianjin, China. Non-return Address