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YDLIDAR 4ROS TOF 2D LiDAR Sensor 30m 360° IP65 100KLux ROS1/ROS2 UART for Raspberry Pi Jetson

YDLIDAR 4ROS TOF 2D LiDAR Sensor 30m 360° IP65 100KLux ROS1/ROS2 UART for Raspberry Pi Jetson

Yahboom

Обычная цена $605.00 USD
Обычная цена Цена со скидкой $605.00 USD
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Overview

YDLIDAR 4ROS is a TOF (time-of-flight) LiDAR sensor designed for 360° scanning, ranging, and mapping in both indoor and outdoor environments. It features anti-glare capability up to 100KLux, an IP65 enclosed protective cover (waterproof and dustproof), and an integrated motor driver with speed regulation. ROS1/ROS2 support is provided with an open-source package, making it suitable for robot navigation and SLAM workflows on platforms such as Raspberry Pi and Jetson.

Key Features

  • TOF ranging technology (distance measured by laser pulse round-trip time difference)
  • 360° omnidirectional laser scanning
  • Ranging radius up to 30 m (80% reflectivity object)
  • Anti-ambient light intensity: 100KLux (unit of light intensity)
  • Adjustable scan frequency: 5~12 Hz (default 7 Hz)
  • Sampling frequency: 20,000 times/s
  • IP65 enclosed enclosure (waterproof and dustproof)
  • ROS support: ROS1/ROS2; compatible with ROS1 and ROS2 systems
  • Windows support: PC software for Windows
  • Communication interface: Standard Asynchronous Serial Port (UART)

Specifications

Model YDLIDAR 4ROS
Ranging principle TOF ranging
Scan angle 360°
Angle resolution 0.13°
Measurement angle accuracy 0.09°~0.22° adjustable
Sampling frequency 20000 times/s
Scan frequency 5~12 Hz
Scanning frequency (noted) 12 Hz
Default scan frequency (noted) 7 Hz
Anti-ambient light intensity 100KLux (Unit of light intensity)
Communication rate 512000 bps
Communication interface Standard Asynchronous Serial Port (UART)
Size 75.9*34.7 mm
Height (noted) 3.47 cm
Weight 140 g (not include packing box)
Light source 905 nm Laser
Waterproof and dustproof IP65
Power supply 5 V
Drive mode DC brushless motor
Windows support Provide PC software for Windows
ROS support ROS1/ROS2
Ranging range (m) Minimum: 0.05, Maximum: 30 (80% reflectivity object)
Application scenario Robot accurate obstacle avoidance, Autonomous navigation, Maker education, Scientific research, Algorithm verification, Positioning and navigation

Applications

  • Robot mapping, positioning, and navigation (ROS/SLAM workflows)
  • Obstacle avoidance and environment contour scanning
  • Maker education and algorithm verification
  • Integration with Raspberry Pi / Jetson series boards, PC computer, industrial computer, and RDK series board

A general mapping and navigation app for ROS robots is also referenced (Android phones only).

Manuals & Resources

YDLIDAR 4ROS Tutorial Link

For integration and compatibility questions, contact https://rcdrone.top/ or email support@rcdrone.top.

Details