An industrial-grade autonomous vehicle base engineered for outdoor research and education. This platform integrates ROS and Autoware for perception, planning, and control, enabling real-time mapping, path planning, and autonomous navigation on complex terrains.
Model Overview
- Model: High-Precision ROS Autonomous Vehicle Base with C16 LiDAR and GNSS Navigation
- Main Controller: Industrial Edge Computer / NVIDIA Jetson Xavier NX / Orin NX (optional upgrade: RDK X5 or Raspberry Pi 5)
- Operating System: Ubuntu Linux pre-installed with ROS, Autoware, SLAM, and mapping packages
- Drive Structure: Ackermann steering architecture with independent DC drive motors and encoder feedback
- Perception: Integrated C16 LiDAR with 360° field of view for high-resolution environment scanning
- Positioning: RTK-based high-precision GNSS + IMU fusion for centimeter-level localization
- Control Software: ROS + Autoware.AI / Autoware.Universe for perception, planning, and control
- Motion Control: PID-regulated motor controllers with odometry fed into ROS nodes
- Power: 24 V DC battery system with BMS and power protection module
- Interfaces: USB / UART / CAN / Ethernet / Wi‑Fi / Bluetooth (optional 4G/5G module)
- Chassis: CNC‑machined aluminum alloy frame, IP65 waterproof for outdoor use
- Wheels and Suspension: Four-wheel Ackermann steering, shock-absorbing suspension, rubber tires
- Performance: Max speed 2.5 m/s, payload up to 30 kg
- Programming: Python / C++ for ROS nodes and Autoware development
- Certifications: CE / RoHS / Scientific Research Export Compliance
Key Features
- Outdoor-ready ROS autonomous vehicle base designed for real-world path planning and navigation using Autoware and SLAM frameworks.
- Integrated C16 3D LiDAR system with 360-beam coverage delivering dense point clouds for precise obstacle detection and mapping.
- High-precision GNSS + RTK localization fusing IMU for centimeter-level positioning accuracy and stable trajectory control.
- Autoware AI/Autoware Universe software stack supporting modular perception, planning, and control pipelines.
- Ackermann steering control mechanism emulating automotive kinematics for research in motion planning and lane tracking.
- Industrial outdoor design: IP65 chassis and shock-resistant construction for reliable operation in varied weather and terrain.
- Modular sensor expansion compatible with LiDAR, HD RGB camera, depth camera, stereo vision, and GNSS modules.
- Ideal for research and education: universities, autonomous driving labs, and applied AI development centers.
Navigation and Mapping
- LIO-SLAM and Cartographer for real-time mapping and loop-closure optimized localization.
- Autoware AD modules for semantic perception, behavior planning, and trajectory generation.
- Path planning and obstacle avoidance pipelines tuned for outdoor environments.
Sensors and Expansion Options
- Included: C16 LiDAR with 360° FOV
- Optional: HD RGB camera, depth camera, IMU, GNSS RTK station, ultrasonic sensors
- Communication upgrades: 4G/5G module for remote teleoperation and cloud connectivity
Applications
- Outdoor autonomous navigation and waypoint following
- LiDAR-SLAM mapping and dataset collection
- AI perception research and multi-sensor fusion
- Driverless vehicle training and prototyping
- University autonomous driving projects and coursework
Technical Specifications
| Main Controller | Industrial Edge Computer / NVIDIA Jetson Xavier NX / Orin NX (optional RDK X5 or Raspberry Pi 5) |
| Operating System | Ubuntu Linux with ROS, Autoware, SLAM, and mapping packages pre-installed |
| Drive Structure | Ackermann steering, independent DC motors with encoder feedback |
| Navigation and Mapping | LIO-SLAM, Cartographer, Autoware AD modules |
| Perception | C16 LiDAR, 360° FOV, high-resolution point cloud |
| Positioning | RTK GNSS + IMU fusion, centimeter-level localization |
| Control Software | ROS + Autoware.AI / Autoware.Universe |
| Motion Controllers | PID motor controllers with odometry to ROS nodes |
| Power Supply | 24 V DC battery with BMS and protection |
| Interfaces | USB / UART / CAN / Ethernet / Wi‑Fi / Bluetooth (optional 4G/5G) |
| Chassis Material | CNC aluminum alloy, IP65 waterproof |
| Wheels and Suspension | Four-wheel Ackermann, shock-absorbing suspension, rubber tires |
| Speed and Payload | Max 2.5 m/s, payload up to 30 kg |
| Programming Languages | Python, C++ |
| Certifications | CE, RoHS, Scientific Research Export Compliance |
What You Can Build
- End-to-end autonomous driving demos using Autoware perception, planning, and control stacks
- High-fidelity outdoor maps with LiDAR-IMU tight coupling and RTK absolute referencing
- Custom AI pipelines for object detection, tracking, and semantic segmentation
- Education curricula and lab exercises on vehicle kinematics and ROS-based autonomy