RoboSense AC1 LiDAR Depth Camera is a next-generation robotic vision system that integrates high-precision depth sensing with intelligent AI-driven perception tools. Built for robust performance, it combines cutting-edge LiDAR technology with advanced camera-based environmental sensing, delivering highly detailed and reliable data—even in harsh lighting conditions like direct sunlight or reflective surfaces.
Engineered for real-world performance, the AC1 excels in dynamic environments where mobility perception, SLAM (Simultaneous Localization and Mapping), and multimodal sensor fusion are critical. This compact, AI-ready active camera is purpose-built for autonomous systems, robotic navigation, and next-gen smart machines.
With plug-and-play integration into robotics platforms, ROS (Robot Operating System), and custom software stacks, the RoboSense AC1 empowers developers, engineers, and researchers to build smarter, more aware machines that thrive in unpredictable surroundings. Whether you're developing autonomous vehicles, service robots, or industrial automation systems, this active camera delivers 3D spatial awareness and robust object recognition with centimeter-level accuracy.
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
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Unparalleled Depth Precision: Achieves 3cm (1σ) accuracy with a maximum range of 70m.
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Wide Field of View (FOV): Depth FOV of 120°×60° and RGB FOV of 144°×78° for comprehensive spatial awareness.
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Integrated Sensor Suite: Combines depth, RGB, and IMU sensors for synchronized environmental data fusion.
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Sunlight Resistance: Operates seamlessly under 100kLux of strong sunlight, ensuring reliability in outdoor scenarios.
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Compact and Robust Design: Lightweight, solid-state module built to withstand temperatures from -20°C to 60°C.
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AI Ecosystem: Offers open-source tools, drivers, and calibration resources for enhanced development and integration.
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.