RESEPI GEN-II OS1-ILX
The RESEPI GEN-II system is the latest addition to the RESEPI family of products and is the result of years of market research and disciplined practice of the fundamentals of engineering. This surveyor’s dream is built for an unrivaled ability to be versatile in nature; serving and delivering the best in class data for a variety of use cases spanning aerial, mobile, and pedestrian based applications. Feature rich and intuitive workflows allow for confident and successful operation regardless of the size of the project at hand.
LiDAR
RESEPI GEN-II with Ousters OS1-64 REV7 is one of the latest offerings from Inertial Labs and one of the most unique and powerful in nature. This lightweight LiDAR features multiple scanning modes and operational workflows that allow users to control their collection procedures and accuracy. With an extended vertical FOV of 45° and compact design, you can be confident that your projects can be completed with minimal time spent in data collection.
Overview
The RESEPI (Remote Sensing Payload Instrument) GEN-II payload is an advanced, next-generation, sensor-fusion platform designed for accuracy-focused real-time and post-processed aerial, mobile, and pedestrian-based remote sensing applications. At its core, RESEPI GEN-II utilizes the Inertial Labs’ Dual Antenna Inertial Navigation System (INS-D), a high-performance and expandable navigation system powered by Inertial Labs’ Extended Kalman Filter (EKF). Within this system lies a Tactical Grade Inertial Measurement Unit (IMU), the Kernel-210, also by Inertial Labs. RESEPI GEN-II provides more expandability over its predecessor by offering the ability for end-users and integrators to have tight integrations with their platforms by taking advantage of built-in software integrations made for and by MAVLink and DJI’s Payload SDK (PSDK). Benefit from two new camera options with a wider field of view, faster shutter speeds, and higher resolution images. Field-swappable mounts and accessories open up easy integrations with well-known platforms such as the WISPR Ranger Pro 1100, Freefly Astro, Sony Airpeak S1, and DJI M350. In addition, the RESEPI GEN-II platform features a significantly more powerful on-board computing module that opens up the ability for real-time point cloud visualization and further integrations with external/additional sensing modules, giving users the ability to integrate and synchronize their additional cameras and LiDAR’s; or input aiding data to the navigation filter from wheel speed sensors, encoders, external IMU’s or Air Data Computers (ADC). This complete payload is perfectly suited for plug-and-play with end-users and engineering firms looking to adopt a hardware package that offers customization and expandability with a versatile remote sensing solution.
RESEPI SnapFit Payload Adapter
These smart adapters are specialized connectors tailored for specific drone models, enabling seamless integration and communication between the drones and the RESEPI GEN-II payload. They facilitate both power and data transmission, enhancing the versatility and functionality of the drones for various applications. Each adapter is engineered to meet the unique requirements of the corresponding drone model, ensuring optimal performance and compatibility.
For DJI Skyport
Made for the DJI M300 and M350. This adapter is designed to support power and data transmission with common DJI drones.
For FREEFLY Smart Dovetail
Designed for compatibility with the FREEFLY Astro. This adapter is designed to support power and data transmission with the FREEFLY Astro as well as other drones which use this industry adopted payload mounting interface.
For the Airpeak
This adapter was designed to allow for interfacing with the Sony Airpeak drone. This adapter was engineered to support direct communication with the drone allowing data transmission and power to be fed from the drone to the payload.
Applications
The RESEPI GEN-II OS1-64 was strategically designed for multiple application bases with mounting options for mobile vehicles, DJI supported drones (DJI M300, M350, M600 Pro), custom drones, handheld platforms (including the RESEPI LiDAR Payload Backpack), indoor robotics vehicles, the Freefly Alta-X and Astro, WISPR Ranger Pro 1100, Sony Airpeak S1, and many more. Because of this diverse mounting portfolio, the RESEPI can be used for many services including (power lines), construction volumetrics, site surveying, precision agriculture, forestry, mining operations, and much more.
System Specification
cm
System Vertical Accuracy
cm
Precision
cm
Precision
(1σ Noise Removal)
meters
Recommended AGL
kg
Weight
cm
Dimensions
minutes
Max Flight Time (DJI M300)
GB
Internal Storage, SSD
8GB DDR4 RAM, 16GB eMMC
System Computer
Volt
Operational Voltage Range
Watt
Power Consumption
LiDAR Scanner
Laser Range Capabilities |
90m @ 10% ref. (all channels) 0.5 to 200m |
Range Accuracy | +/- 2.5 cm |
FOV (Horizontal) | 360° |
FOV (Vertical) | 45° |
Scan Angle (Vertical) | -22.5° to 22.5° |
Beam Divergence | 0.18° (H), 0.18° (V) |
Laser Channels | 64 |
Number of Returns | 2 |
Pulse Rate | 2,621 k/s (dual return) |
Camera
Model | Sony ILX-LR1 |
Resolution | 61MP |
Lens | Fixed, Manual Focus, 18mm |
Max Trigger Rate | 1 seconds |
Field of View | 100° |
Estimated GSD Accuracy | 2 cm at 50 m AGL |
GPS-Aided INS
IMU | Inertial Labs Kernel-210 |
GNSS | NovAtel OEM7720 |
Constellations | GPS, GLONASS, Galileo, BeiDou, QZSS, NavIC (IRNSS), SBAS, L-Band |
Frequencies | L1, L2, L5 |
Operation Modes | RTK and PPK |
INS Algorithm Type | Extended Kalman Filter |
Output Rates |
Up to 200HZ (INS) Up to 2,000HZ (IMU) |
Pitch/Roll Accuracy |
0.03 (RTK) 0.006 (PPK) |
Heading Accuracy |
0.08 (RTK) 0.03 (PPK) |
Velocity Accuracy | <0.03 m/s |
Position Accuracy |
1cm + 1ppm (RTK) 0.5cm (PPK) |
Integration Support
External Camera Support | Yes |
External LiDAR Support | Yes |
External GNSS Receiver Support | Yes |
Odometer or Wheel Speed Sensor Support | Yes |
MAVLink and DJI Payload SDK Capabale | Yes |
Software (PCMasterPro)
Field Checks | Yes |
Pre-Processing | Yes |
Post-Processing | Yes, Supported |
SLAM (Powered by Kudan) | Yes |
Strip Alignment (Powered by BayesMap) | Yes |
Additional Features | Coordinate System Transformation, Batch Processing, Open Architecture, Noise Filtering, etc. |