Beetle is an autonomous car platform that uses Simultaneous Localization and Mapping (SLAM) to navigate complex environments without human intervention.

It combines sensor fusion, onboard compute, and real-time decision making to explore and drive through unknown terrain while dynamically mapping its surroundings.

Features

• Real-time SLAM (Simultaneous Localization and Mapping)
• GNSS and Visual-Inertial Odometry integration
• Obstacle detection and path planning
• Autonomous waypoint navigation
• Web-based dashboard and telemetry
• Modular architecture (sensors, planning, control)
• Live map visualization
• ROS2-compatible

Technology Stack

• SLAM Backend: RTAB-Map / ORB-SLAM3
• Platform: Raspberry Pi 4 + Microcontroller
• Sensors: Stereo camera, IMU, GPS
• Navigation: A* Pathfinding / Dijkstra
• Language: Python + C++
• Frameworks: ROS2, OpenCV, NumPy

Applications

Beetle serves as a testbed for research in autonomous navigation, robotics education, and real-world SLAM deployment. It is adaptable for both indoor and outdoor mapping missions.

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