🤖 RoboSense AC1 LiDAR Depth Camera
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.
Why Choose RoboSense AC1?
🚀 Industry-Leading Performance
Delivers hardware-level precision combined with cutting-edge AI-ready capabilities for next-gen perception systems. 🤖🔍
🧠 Open-Source Ecosystem
Equipped with drivers, algorithms, and multimodal development tools—giving you the freedom to build, customize, and deploy. 🛠️📦
🔗 Broad Compatibility
Easily integrates into existing robotics platforms and software stacks, accelerating deployment and prototyping. ⚙️🤝
✅ Trusted RoboSense Technology
Powered by RoboSense’s industry expertise in high-performance LiDAR and vision systems, trusted by developers worldwide. 🌐📡
Features
🎯 Ultra-Precise Depth Sensing
Achieves 3cm (1σ) accuracy with a maximum range of 70 meters, delivering pinpoint 3D spatial data for robotics, SLAM, and autonomous navigation.
👁️ Expansive Field of View
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Depth FOV: 120° × 60°
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RGB FOV: 144° × 78° Provides wide-angle coverage for full-scene awareness and object tracking.
🔄 Integrated Sensor Suite
Combines LiDAR depth, RGB imaging, and IMU sensors for synchronized, multimodal environmental perception—perfect for sensor fusion and real-time mapping.
☀️ Sunlight-Proof Performance
Operates reliably under 100kLux of direct sunlight, ensuring consistent data capture in outdoor and high-glare environments.
🧱 Compact & Rugged Build
Lightweight, solid-state module engineered to withstand extreme temperatures from -20°C to 60°C, ideal for mobile platforms and industrial use.
🧠 AI-Ready Development Ecosystem
Includes open-source SDKs, drivers, and calibration tools for seamless integration with ROS, custom software stacks, and intelligent robotics platforms.
Specifications
Active Camera Specifications Table | |||
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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@1σ (Indoor) ±5cm@1σ (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 | -20°C ~ +60°C | Storage Temperature | -20°C ~ +70°C |
Protection Rating | IP54 | Weight | 400g ± 10% |
Data Interface | USB 3.2 Gen1 | Power Interface | DC |
Dimensions | 95mm*42.6mm*80mm |
Coordinate Systems in RoboSense AC1
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:
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LiDAR Sensor Coordinate System:
Denoted as O L − X L Y L Z L , this is the reference system for the LiDAR sensor's spatial measurements. -
Camera Sensor Coordinate System:
Represented as O C − X C Y C Z C , this system provides the orientation and positioning of the camera sensor relative to its data. -
IMU Sensor Coordinate System:
Denoted by O I − X I Y I Z I , 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 O − XYZ or O L − X L Y L Z L , ensuring consistency across all sensor data integration.
Applications
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Robotics Navigation: Facilitates precise SLAM and autonomous navigation with robust perception capabilities.
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AI and Vision Systems: Supports advanced localization, obstacle detection, and object recognition tasks.
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Indoor & Outdoor Versatility: Overcomes environmental challenges, adapting to diverse scenarios effortlessly.
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Research & Prototyping: Ideal for developers working on mobility, AI, and cognitive robotics projects.