Cooperative, Connected, and Automated Mobility topics

At Rovimática, our potential contributions to Cluster 5, focusing on CCAM topics, are driven by a commitment to innovation and excellence in the field of artificial intelligence and mobility. Our key contributions include:

• Innovative Inspection Procedures Using AI-Driven Image Processing: We are at the vanguard of developing AI-based systems that leverage sophisticated image processing techniques. These systems are designed to conduct thorough inspections and continuous monitoring, ensuring unparalleled reliability and safety across all CCAM applications.

• Development of AI-based Image Processing Systems for Environment Perception: Our advanced AI algorithms are capable of interpreting and analyzing visual data with exceptional accuracy. This capability enhances the perception of automated vehicles, enabling them to navigate complex environments with ease, ensuring a safer and more reliable mobility ecosystem.

• AI-driven Gesture, Posture, and Action Recognition for Improved Human-Vehicle Interaction: Rovimática is revolutionizing the way humans interact with automated vehicles. By employing AI to accurately interpret human gestures and actions, we are creating more intuitive and user-friendly interfaces, thereby enhancing the overall safety and usability of automated driving systems.

• Optimization of AI Algorithms for Real-Time CCAM Applications: Understanding the critical need for efficiency and speed in CCAM environments, we are dedicated to refining AI algorithms. Our efforts are focused on reducing computational demands while maximizing performance, enabling the seamless integration of AI in real-time CCAM applications.