Founder & Head of AUTONAVIS R&D
Christos Sougles is an accomplished Principal Engineer specializing in Autonomous Vehicles and Embedded Systems. With over a decade of experience in embedded systems and microelectronic engineering, Christos has made remarkable contributions to autonomous vehicle technology. His work spans numerous impactful projects, particularly within the European Horizon R&D initiatives, where he has focused on enhancing road safety and optimizing energy usage.
One of his most notable achievements was his contribution to a groundbreaking road safety project, which earned recognition through a national patent - a clear testament to the value and innovation of his work in this critical area. His ability to drive forward technical solutions has not only addressed current challenges but has also set the stage for future developments in vehicle safety.
Among his many ventures, the GoCAV project stands out as a career-defining passion. What began as an ambitious idea has become a pioneering initiative in the autonomous vehicle area. Under his leadership, the GoCAV prototype has become a robust platform integrating artificial intelligence with advanced sensor technology - such as cameras, Lidar, ultrasonics, and RTK GPS - for precise navigation and enhanced vehicle autonomy systems.
The GoCAV project is more than just a prototype; it bridges simulation and real-world testing, providing invaluable real-time analytics. His work with GoCAV aims to minimize risks and accelerate development timelines for full-scale autonomous vehicles, driving innovation and enabling safer, more reliable autonomous systems. This project also offers insights into how autonomous technology can be adapted to improve the safety features of existing vehicles.
Driven by passion and resilience, he acknowledges the support of his colleagues and mentors and even finds motivation in those who have doubted him along the way. Their encouragement and his relentless pursuit of excellence continue to shape his contributions to the ever-evolving landscape of autonomous vehicle.