GoCAV Presentation
The GoCAV project is designed to minimize risks and accelerate the development of full-size autonomous vehicles by bridging the gap between simulation and real-world application.
With an advanced AI system and sensors like cameras, Lidar, and ultrasonics, GoCAV integrates these technologies with traditional vehicle controls—steering, throttle, and brakes—connected to the vehicle’s CPU. Supported by Real Time Kinematics GPS and a safety-oriented kill switch, the system’s design combats electromagnetic interference with high-quality cables and strategic component placement. Further enhancements include a CAN-FD network for robust microcontroller-to-CPU communication and an integrated control panel for real-time diagnostics and engine monitoring.
GoCAV Trials
Currently transitioning from controlled simulations to test track evaluations, GoCAV focuses on sensor and system robustness in various operating conditions. Its scalable framework allows the integration of new technologies, ensuring GoCAV remains at the forefront of autonomous vehicle development. This strategic focus not only reduces testing time and enhances safety in pilot tests but also offers critical insights into how autonomous technology can improve the safety features of existing vehicles, shaping a safer automotive future.