Key Features & Components (Typical Pro-Level Configuration)
- Open-Source Software Stack: Based on popular frameworks like Autoware and fully compatible with ROS (potentially ROS 2/Foxy version depending on the specific model), enabling seamless development of navigation, perception, and control applications.
- High-Performance Sensing: Features a powerful autonomous driving sensor system, which typically includes:
- High-Line LiDAR: Such as a 16-line LiDAR (e.g., Velodyne VLP-16 or similar) for 360-degree high-definition environment mapping and obstacle detection.
- Stereo Depth Camera: Like the Intel RealSense D435i for visual SLAM, depth perception, and advanced visual identity tasks.
- Onboard Computer (IPC): A high-performance industrial PC (e.g., Intel i7/i5 or powerful embedded systems like NVIDIA Xavier/Jetson) to handle demanding processing tasks.
- Ready for Autonomous Navigation: The kit is a perfect solution for implementing functions such as multi-line LiDAR automatic navigation, Simultaneous Localization and Mapping (SLAM), obstacle avoidance, and path planning (often utilizing packages like
navigation2
emove_base
). - Chassis Compatibility: Designed to be easily integrated with a range of AgileX’s robust Unmanned Ground Vehicle (UGV) chassis platforms (e.g., Scout Mini, Scout 2.0, Hunter, or Bunker series).
- Target Applications: Ideal for a wide range of high-complexity, high-integration applications including:
- Academic Research & Education: Providing a complete platform for university-level studies and projects in robotics and autonomous systems.
- Product Pre-Research: Rapid prototyping and development of specialized autonomous vehicles.
- Industrial Applications: Developing solutions for inspection, surveying, security, logistics, and more.
- Full Integration: Comes with pre-installed Linux and ROS environments, necessary hardware drivers, and methodically designed sensor mounting for optimal placement and easy integration.
O AgileX Auto Kit Pro is your comprehensive tool for unlocking the full potential of autonomous driving technology, offering a sophisticated and integrated platform for researchers and developers to quickly move from concept to deployment.
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