An industrial-grade outdoor autonomous vehicle platform engineered for research and education. It integrates ROS middleware with Autoware for end-to-end perception, planning, and control, enabling real-time mapping, path optimization, and reliable navigation across complex outdoor environments.
Model Overview
- Product Name: Outdoor Autonomous Driving Robot Platform with ROS and Autoware Navigation System
- Model: High-Precision ROS Autonomous Mobile Chassis with C16 LiDAR and RTK Positioning
- Main Controller: Industrial Edge Computer / NVIDIA Jetson Xavier NX / Orin NX / RDK X5 (optional Raspberry Pi 5 version)
- Operating System: Ubuntu Linux pre-installed with ROS1/ROS2, Autoware AI modules, and SLAM toolchains
- Control Framework: ROS integrated with Autoware for perception, planning, and control
- Drive System: Ackermann steering four-wheel chassis with DC drive motors and encoder feedback
- Perception Sensors: Integrated C16 3D LiDAR with 360° horizontal FOV for dense point clouds and obstacle recognition
- Positioning System: GNSS RTK + IMU fusion for centimeter-level outdoor localization
- Power System: 24 V DC battery pack with BMS protection and quick-charge interface
- Communication Interfaces: USB / CAN / Ethernet / Wi‑Fi / Bluetooth (optional 4G/5G modem upgrade)
- Construction and Protection: CNC-machined aluminum frame, industrial shock absorption, IP65 waterproof rating
- Dimensions and Payload: Customizable size (standard base length ≈ 70–80 cm), load capacity up to 30 kg
- Speed and Control: Max speed ≈ 2.5 m/s, supports auto cruise and manual remote operation
- Programming Languages: Python / C++ for ROS nodes and Autoware integration
- Certifications: CE / RoHS / Research Export Compliant
Key Features
- Outdoor ROS autonomous platform tailored to autonomous driving experiments and navigation tasks using ROS and Autoware.
- C16 high-precision 3D LiDAR delivering 360° scanning for obstacle detection, real-time SLAM, and terrain understanding.
- GNSS RTK + IMU fusion achieving centimeter-level localization accuracy for robust path tracking.
- Autoware AI integration supporting perception, localization, and path planning modules for full-stack autonomy research.
- Ackermann steering chassis with automotive-grade kinematics ideal for trajectory tracking and path control studies.
- Industrial waterproof design with IP65-rated metal chassis for outdoor research and all-weather deployment.
- Flexible sensor expansion supporting LiDAR, GNSS, vision, ultrasonic, and 4G/5G communication modules.
- Ideal for research institutes and AI labs, including universities, autonomous vehicle labs, and robotics centers.
Navigation and Mapping
- Supports LIO-SLAM and Cartographer for real-time environment mapping and loop-closure optimization.
- Autoware planning algorithms for behavior planning, trajectory generation, and path optimization.
- Robust obstacle avoidance and localization pipelines optimized for outdoor scenarios.
Applications
- Outdoor AI navigation research and autonomous waypoint following
- LiDAR-based mapping, dataset collection, and SLAM benchmarking
- Autonomous vehicle education and driverless testing simulation
- Industrial inspection and field robotics prototyping
Technical Specifications
| Main Controller | Industrial Edge Computer / NVIDIA Jetson Xavier NX / Orin NX / RDK X5 (optional Raspberry Pi 5 version) |
| Operating System | Ubuntu Linux with ROS1/ROS2, Autoware AI modules, and SLAM toolchains pre-installed |
| Control Framework | ROS middleware integrated with Autoware for perception, planning, and control |
| Drive System | Ackermann steering four-wheel chassis, DC drive motors, encoder feedback |
| Mapping and Navigation | LIO-SLAM, Cartographer, Autoware planning algorithms |
| Perception Sensors | C16 3D LiDAR, 360° horizontal FOV, dense point cloud generation |
| Positioning System | GNSS RTK + IMU fusion for centimeter-level localization |
| Power System | 24 V DC battery pack, BMS protection, quick-charge interface |
| Communication Interfaces | USB / CAN / Ethernet / Wi‑Fi / Bluetooth (optional 4G/5G modem upgrade) |
| Construction and Protection | CNC-machined aluminum frame, industrial shock absorption, IP65 waterproof |
| Dimensions and Payload | Customizable, standard base length ≈ 70–80 cm, payload up to 30 kg |
| Speed and Performance | Max speed ≈ 2.5 m/s, supports auto cruise and manual remote operation |
| Programming Languages | Python, C++ for ROS nodes and Autoware development |
| Certifications | CE, RoHS, Research Export Compliant |
What You Can Build
- End-to-end autonomous driving demos using Autoware perception, planning, and control
- High-accuracy outdoor maps with LiDAR-IMU fusion and RTK-referenced localization
- Custom AI pipelines for object detection, tracking, and semantic understanding
- Education labs on vehicle kinematics, SLAM benchmarking, and ROS-based autonomy