LSR680Auto ROS2 Autoware Autonomous Driving Platform with LiDAR, RTK GNSS and multi-Sensor Fusion System-Orin NX Super - (Ultra)

LucSys RoboticsSKU: RM-LUCS-017
Manufacturer #: 43889032

Price  :
Sale price $19,678.00

Shipping calculated at checkout.

Stock  :
In stock (10 units), ready to be shipped

Description

  • ROS2 Autoware.Universe autonomous driving platform based on Ackermann steering architecture, optimized for structured road environments such as campuses, parks and logistics routes.
  • Equipped with a full perception suite including 16-line LiDAR, stereo depth camera and MR20 77GHz millimeter-wave radar for robust multi-sensor fusion perception.
  • Integrated high-precision navigation system featuring GNSS + RTK support and a 9-axis industrial IMU for accurate positioning and stable attitude estimation.
  • Built-in Autoware autonomous driving stack with localization, mapping, object detection, path planning and vehicle control for rapid research and development.
  • Fully open-source platform with ROS2 support, including 3D models, source code, schematics and development documentation for autonomous driving research and customization.

LSR680Auto is a ROS2-based autonomous driving development platform designed for research in self-driving systems and intelligent mobility applications. Built on a production-grade Ackermann steering architecture commonly used in electric vehicles, the platform delivers stable and efficient performance on paved roads, making it suitable for campus patrols, last-mile delivery research and autonomous navigation experiments.

The system integrates a comprehensive multi-sensor fusion suite, including a 16-line LiDAR based on TOF technology, a stereo depth camera and an MR20 77GHz millimeter-wave radar. This combination enables accurate environmental perception, robust obstacle detection and reliable real-time mapping in complex driving scenarios.

For high-precision localization, the LSR680Auto is equipped with a GNSS module supporting RTK differential positioning via 4G network connectivity, ensuring centimeter-level accuracy in outdoor environments. A high-performance 9-axis industrial IMU (H30) further enhances motion tracking by providing acceleration, angular velocity and magnetic field data with advanced fusion and calibration algorithms.

At its core, the platform runs the full Autoware.Universe autonomous driving stack, including localization, mapping, perception, planning and control modules. This allows researchers and developers to rapidly build and test autonomous driving algorithms in a real-world hardware environment.

The LSR680Auto is fully open-source, providing 3D CAD models, software source code, schematics and complete ROS2 development documentation. It is an ideal platform for universities, research institutes and autonomous driving developers seeking a cost-effective yet professional-grade autonomous vehicle development system.

1x ROS controller Orin NX Super (16GB)

1x Chassis(Independent Suspension)

1x Stereo Depth Camera

1x 16-line LiDAR(Upgradeable to a 32-line LiDAR.)

1 × H30 9-Axis IMU

1 × G70 RTK GNSS Module

1 × mmWave Radar

1x Touchscreen

1x Auto-Recharging

1x Multi-mode Joystick

1x Keyboard

Fully Open Source

Note:Please contact the seller for customized or upgraded configurations.

Chassis Dimensions:882.9 × 766 × 569 mm

Net Weight : 48kg

Payload Capacity : 35kg

1. SLAM & Mapping

RTAB-Map 3D VSLAM (vision-only & LiDAR-vision fusion)

ORB-SLAM2 visual SLAM with RGB-D metric reconstruction

2D LiDAR SLAM: Gmapping, Cartographer, slam_toolbox (ROS2), Hector, Karto (ROS1)

LiDAR angle masking / sector filtering for optimized perception

Real-time 3D environment reconstruction and mapping

2. Autonomous Navigation & Planning

ROS2 Nav2 autonomous navigation framework

Multi-point waypoint navigation & path recording/playback

RRT-based autonomous exploration and mapping

Coverage path planning for full-area traversal

TEB, DWA navigation planners

DWB, MPPI, RPP motion controllers (multi-scenario support)

3. Perception & Computer Vision

YOLO-based object detection (v3 / v8 / v11 depending on ROS version)

Gesture recognition and general object detection

AR tag detection and 6-DOF pose tracking

Depth-based target following and real-time distance estimation

RGB line following with LiDAR-assisted obstacle avoidance

KCF visual target tracking

LiDAR-based dynamic target following

4. AI & Human–Robot Interaction

LLM deployment (local edge or cloud-based)

Text-to-Speech (TTS) voice interaction system

iFLYTEK-compatible voice dialogue expansion

Web-based camera live streaming and monitoring

ROS mobile APP for navigation control

Android / iOS tuning APP with real-time parameter adjustment

5. System Software & ROS Ecosystem

Fully compatible with ROS 1 and ROS 2

Autoware.Universe integration support (selected platforms)

QT-based ROS graphical control interface (one-click launch system)

Python-based tutorials and simulation-style learning tools

Pre-configured navigation and perception demo pipelines

6. Motion Control & Vehicle Dynamics

Ackermann / differential / tracked / mecanum / omnidirectional kinematics support

Path planning controllers: DWB, MPPI, RPP

Motion trajectory recording and autonomous playback

Real-time velocity, battery, and system status monitoring via GUI

7. Sensors & Localization

Multi-line LiDAR support for 2D/3D mapping and navigation

RGB-D depth camera integration

GNSS positioning with RTK differential correction

IMU-assisted fusion localization (9-axis or equivalent)

GNSS-based initial pose setting and map re-localization (NDT matching support)

8. Development & Expandability

Fully open-source system (hardware + software)

Includes 3D CAD models, source code, schematics, and documentation

Bluetooth wireless code flashing for rapid debugging

Modular SDK for LiDAR configuration and sensor customization

Supports secondary development and algorithm integration

9. Advanced Autonomous Driving Features

Autoware.Universe multi-point autonomous driving routines

Outdoor 3D reconstruction with multi-line LiDAR upgrade

End-to-end autonomous driving stack (perception → planning → control)

Campus / park / logistics route autonomous navigation support

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