WIKI: www.waveshare.com/wiki/AURORA
Weight: 0.955 kg
AURORA x1
Slamtec AURORA All-in-one Localization And Mapping Sensor, Large Mapping Area, Centimeter-level Positioning Accuracy, Compact Size, Right Out Of The Box, Multi-platform Support
AURORA
A New Era Of Mapping And Localization Solution
Specifications
Power Supply | 12V |
---|---|
2D Map Resolution | 2cm/5cm/10cm adjustable |
Relocation | Supports global relocation |
Mapping & Localization Mode | Multi-source fusion of LiDAR, vision, and IMU |
Camera | Binocular fisheye HDR global camera, 180° FOV, 6cm baseline |
Camera Frequency | Typical 10Hz, customizable to 15/30Hz |
Tilt Angle | No requirement (for optimal 2D mapping, a tilt angle of less than 30° is recommended) |
Ranging Accuracy | ±30mm |
Scanning Frequency | 10~20Hz (Typ 10Hz) |
Scanning Angle | 360° |
Sampling Frequency | 32KHz |
Communication Interface | WiFi, USB Type-C, 1000M Ethernet |
Operating Temperature | 0 ~ 40°C |
Ranging Distance | white object: 0.05~40m (70% reflectivity) black object: 0.05m~15m (10% reflectivity) / 0.05m~5m (2% reflectivity) |
SDK & Demo Support
Provides product manual, user manual, and SDK development package that can run on different platforms, supports ROS and ROS2 operating systems, helping users to develop and integrate across various operating systems and architectures
LIDAR, vision and AI
seamlessly integrated successfully
integrated LiDAR, vision, IMU, and deep learning to create a cutting-edge, all-in-one localization and mapping sensor
AI + SLAM Deep Learning System,
Accurately Identifies Features
Aurora can accurately extract concise features from complex environments, and build a mapping framework with smooth lines and clear edges
Traditional Feature Extraction Effect
Aurora Deep Learning Solution
No Panic of High-Speed Motion, Showing Extraordinary Stability
Thanks to the high spatial positioning capabilities of deep learning, Aurora can always capture millisecond-level positions even in the face of high-speed rotation or unexpected acceleration, maintaining stability as always
Fearless of Wind and Grass, delivering outstanding performance
Aurora can effectively eliminate interference in the undulating grassland environment, keenly perceive every subtle feature, and continuously output high-quality positioning and mapping data
Traditional Solution Loses Positioning
Aurora Solution Stays Stable
Embracing the 3D Era,
Flexible Handheld Ready to Work
provides complete 3D, 6 DOF spatial positioning capabilities, with no external dependencies, ready to work when powered on
Born for Embodied Intelligence, Indoor and Outdoor Handling with Ease
In the era of embodied intelligence, Aurora is a great partner for humanoid robots and multi-legged robotic dogs, capable of handling complex environments and terrains both indoors and outdoors
Fearless in the Dark, Challenging High Speeds
Aurora can maintain stable mapping and positioning even in high-speed motion environments, delivers outstanding performance even in the dark
Large Mapping Area(> 1,000,000 m²)
The inner ring road of Shanghai is 47.7 km long and encloses an area of 120 square kilometers. Aurora can achieve complete mapping and closure
Synchronized 2D High-Precision Map Output
Using onboard LiDAR, Aurora synchronizes the output of high-precision top-down 2D laser grid maps, facilitating the rapid migration of existing navigation algorithms to 3D environments
Outdoor Mapping - 2D Laser Output
Outdoor Mapping - 3D Point Cloud Output
Compact size, Easy to Integrate
Whether integrated into small robots or large systems, it easily adapts, becoming the ideal partner for embodied intelligence solutions
* for reference only, please refer to the Package Content for the detailed part list.
Three Simple Steps, Easy to Use
Aurora is incredibly easy to operate, no external dependencies required, ready to use when powered on, just three steps to integrate into robots: Step 1, install; Step 2, power on; Step 3, start collecting data
* for reference only, please refer to the Package Content for the detailed part list.
Application Scenarios
Outline dimensions
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