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 toolsgiving 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 RoboSenses industry expertise in high-performance LiDAR and vision systems, trusted by developers worldwide.

Features

Ultra-Precise Depth Sensing

Achieves 3cm (1) accuracy with a maximum range of 70 meters, delivering pinpoint 3D spatial data for robotics, SLAM, and autonomous navigation.

Expansive Field of View

• Depth FOV: 120 60

• 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 perceptionperfect 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 -20C to 60C, 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
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

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 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.

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