🤖 RoboSense AC1 LiDAR Depth Camera Advanced Depth Intelligence for Autonomous Machines The RoboSense AC1 is a next-generation LiDAR depth camera built for smart robotics, autonomous mobility, and intelligent systems. It merges precise 3D spatial sensing 📡 with AI-enhanced scene interpretation, offering centimeter-grade accuracy even under intense sunlight ☀️ or reflective glare 🪞. Engineered for real-world deployment, AC1 thrives in dynamic settings where SLAM mapping, sensor fusion, and navigation awareness are critical. Whether you're building self-driving platforms, robotic assistants, or automated industrial systems, AC1 delivers dependable object detection and spatial insight for safer, smarter machines. Why Choose RoboSense AC1? 🚀 Exceptional Performance Combines hardware-level accuracy with AI-ready processing for modern perception systems. 🤖🔍 🧠 Developer-Friendly Ecosystem Comes with open-source tools, SDKs, and sensor integration kits—giving you full control to innovate. 🛠️📦 🔗 Seamless Integration Compatible with popular robotics frameworks and software environments, enabling fast prototyping and deployment. ⚙️🤝 ✅ Proven RoboSense Engineering Backed by RoboSense’s expertise in LiDAR and vision technologies, trusted by global innovators. 🌐📡 Features 🎯 High-Accuracy Depth Measurement Delivers 3cm precision (1σ) with a reach of 70 meters, ideal for robotics, mapping, and autonomous systems. 👁️ Wide-Angle Visual Coverage Depth FOV: 120° × 60° RGB FOV: 144° × 78° for full-scene visibility and object tracking. 🔄 Multi-Sensor Integration Combines LiDAR depth, RGB camera, and IMU for synchronized perception—ideal for fusion and mapping. ☀️ Outdoor-Ready Performance Handles up to 100kLux of sunlight, ensuring reliable data in bright or reflective conditions. 🧱 Durable & Compact Design Solid-state, lightweight build rated for -20°C to 60°C, perfect for mobile and industrial applications. 🧠 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 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: LiDAR Sensor Coordinate System:Denoted as OL−XLYLZLO_L - X_L Y_L Z_LOL−XLYLZL, this is the reference system for the LiDAR sensor's spatial measurements. Camera Sensor Coordinate System:Represented as OC−XCYCZCO_C - X_C Y_C Z_COC−XCYCZC, this system provides the orientation and positioning of the camera sensor relative to its data. IMU Sensor Coordinate System:Denoted by OI−XIYIZIO_I - X_I Y_I Z_IOI−XIYIZI, 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−XYZO - X Y ZO−XYZ or OL−XLYLZLO_L - X_L Y_L Z_LOL−XLYLZL, ensuring consistency across all sensor data integration. Applications 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. Technical Reference ROBOSENSE AC1 https://wiki.openelab.io/robosense/robosense-ac1 Documents AC1 User Guide.pdf
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