Autonomous Driving System
SeaX AI transforms electric vehicles into autonomous solutions through a powerful combination of hardware and software.
The core of autonomy
Our Level 4 autonomous driving system was developed entirely by SeaX AI. It combines precision in perception, localization, decision-making, planning, and control to deliver safe, efficient, and adaptive driving.
It is designed to operate in structured environments, such as airports or industrial areas, where infrastructure and traffic rules are clearly defined, as well as in less structured environments, such as rural areas or local roads with limited signage or irregular geometries.
This system is the heart of our technology, capable of transforming conventional vehicles into intelligent autonomous platforms.
Adaptability and operating environments
Our system has been designed to adapt to diverse environments, from rural areas to private settings.
Thanks to its modular architecture, it can be integrated into different types of vehicles and sensor configurations, always maintaining safety and accuracy standards.
It is capable of operating reliably even in conditions of reduced visibility or with limited connectivity, prioritizing safety and continuity of service.
Security and redundancy
Safety is the central focus of our design.
Our system incorporates redundancy in critical sensors, real-time fault detection, and safe shutdown protocols.
Each component — from perception to control — is thoroughly validated in simulated and real environments before deployment.
This approach ensures predictable, safe, and traceable behavior under any conditions.
Simulation and validation environments
We develop and validate our algorithms in our own simulation environment, where we recreate both circuit, urban, and rural scenarios.
This ecosystem allows us to test thousands of situations before conducting real-world tests, thus optimizing the accuracy, safety, and responsiveness of the system.
System architecture
Our architecture is based on a continuous flow of data between sensors, algorithms, and actuators.
Perception and location: the system merges data from high-precision GPS, IMU, cameras, and lidar and radar sensors to understand the environment and position itself with centimeter accuracy.
Planning and control: the global planner defines the optimal route while the local planner and controller adjust the trajectory and speed in real time, ensuring smooth and safe driving.
Obstacle avoidance: the system analyzes the movement of dynamic and static objects, adjusting speed or trajectory to proactively avoid collisions.
