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Next-Gen Robotic Vision with AI-Powered Depth Sensing
The RoboSense AC1 is a cutting-edge LiDAR depth camera designed for intelligent robotics, autonomous navigation, and advanced machine perception. Combining high-precision 3D depth sensing with AI-driven environmental analysis, this compact active camera delivers centimeter-level accuracy even in challenging lighting conditions like direct sunlight or reflective surfaces .
Built for real-world performance, the AC1 excels in dynamic environments where SLAM (Simultaneous Localization and Mapping), multimodal sensor fusion, and mobility perception are essential. Whether you’re developing autonomous vehicles, service robots, or industrial automation systems, the AC1 provides robust object recognition and spatial awareness for smarter, safer machines.
Delivers hardware-level precision combined with cutting-edge AI-ready capabilities for next-gen perception systems.
Equipped with drivers, algorithms, and multimodal development toolsgiving you the freedom to build, customize, and deploy.
Easily integrates into existing robotics platforms and software stacks, accelerating deployment and prototyping.
Powered by RoboSenses industry expertise in high-performance LiDAR and vision systems, trusted by developers worldwide.
Achieves 3cm (1) accuracy with a maximum range of 70 meters, delivering pinpoint 3D spatial data for robotics, SLAM, and autonomous navigation.
Depth FOV: 120 60
RGB FOV: 144 78 Provides wide-angle coverage for full-scene awareness and object tracking.
Combines LiDAR depth, RGB imaging, and IMU sensors for synchronized, multimodal environmental perceptionperfect for sensor fusion and real-time mapping.
Operates reliably under 100kLux of direct sunlight, ensuring consistent data capture in outdoor and high-glare environments.
Lightweight, solid-state module engineered to withstand extreme temperatures from -20C to 60C, ideal for mobile platforms and industrial use.
Includes open-source SDKs, drivers, and calibration tools for seamless integration with ROS, custom software stacks, and intelligent robotics platforms.
| Active Camera Specifications Table | |||
|---|---|---|---|
| Lidar | |||
| Ranging Principle | TOF (Time of Flight) | Horizontal FOV | 120 |
| Laser Wavelength | 940nm | Vertical FOV | 60 |
| Laser Safety Class | Class 1 (Eye Safe) | Horizontal Resolution | Average 0.625 |
| Ranging Capability | 20m@10% Reflectivity | Vertical Resolution | |
| Blind Zone | 0.1m@90% Reflectivity | Accuracy (Typical) | 3cm@1 (Indoor) 5cm@1 (Outdoor) |
| Points per Second | ~173333 points/sec | Frame Rate | 10 Hz |
| RGB Camera | |||
| Shutter Type | Rolling Shutter | Horizontal FOV | 144 |
| CIS Output Format | NV12, RGB24 | Vertical FOV | 78 |
| Frame Rate | 30 Hz | Resolution | 1920*1080 |
| IMU | |||
| Degrees of Freedom | 6-Axis Data Output | Gyroscope | 2000dps |
| Accelerometer | 16g | Data Frequency | 200Hz (Adjustable) |
| Overall Unit Specifications | |||
| Form Factor | Standard Probe Module | Power Consumption | 12.6W (Typical) |
| Operating Temperature | -20C ~ +60C | Storage Temperature | -20C ~ +70C |
| Protection Rating | IP54 | Weight | 400g 10% |
| Data Interface | USB 3.2 Gen1 | Power Interface | DC |
| Dimensions | 95mm*42.6mm*80mm |
In practical applications of the RoboSense AC1 Active Camera, it is crucial to understand the coordinate systems used by its various sensors to accurately interpret data. These coordinate systems are defined as follows:
LiDAR Sensor Coordinate System:
Denoted as OLXLYLZLO_L – X_L Y_L Z_LOLXLYLZL, this is the reference system for the LiDAR sensor’s spatial measurements.
Camera Sensor Coordinate System:
Represented as OCXCYCZCO_C – X_C Y_C Z_COCXCYCZC, this system provides the orientation and positioning of the camera sensor relative to its data.
IMU Sensor Coordinate System:
Denoted by OIXIYIZIO_I – X_I Y_I Z_IOIXIYIZI, this system defines the inertial data reference for motion and posture sensing.
Active Camera (AC) Coordinate System:
Identical to the LiDAR coordinate system, it is denoted as OXYZO – X Y ZOXYZ or OLXLYLZLO_L – X_L Y_L Z_LOLXLYLZL, ensuring consistency across all sensor data integration.
Robotics Navigation: Facilitates precise SLAM and autonomous navigation with robust perception capabilities.
AI and Vision Systems: Supports advanced localization, obstacle detection, and object recognition tasks.
Indoor & Outdoor Versatility: Overcomes environmental challenges, adapting to diverse scenarios effortlessly.
Research & Prototyping: Ideal for developers working on mobility, AI, and cognitive robotics projects.
ROBOSENSE AC1
https://wiki.openelab.io/robosense/robosense-ac1
AC1 User Guide.pdf