Hybrid Intelligence and Incorporation of Human Behavior therein

FEV Türkiye's value proposition: (any/all or a combination of)

Establishing Collective Awareness: Techniques to ensure that information from various sources can be cross-validated and errors can be detected and mitigated supported by fail-safe designs and novel sensors fusion techniques.

AI Algorithms Addressing Ethical Issues: Develop strategies to ensure CCAM solutions are explainable, trustworthy and human-centric. Prioritize transparency, reliability, and accountability in the design and implementation of AI algorithms and systems

Embedding Hybrid Intelligence ( HI ): Incorporate human-like reasoning, learning, and decision-making capabilities into CCAM systems, enabling them to adapt to dynamic environments and unforeseen situations. Combine system and domain knowledge to enable human-like control of CCAM applications through fusing knowledge about vehicle's capabilities, limitations, and technologies.

Predictions About the Behavior of the Road Users: Develop predictive models and algorithms that can anticipate the actions and intentions of pedestrians, cyclists, and other vehicles based on their observed behavior and contextual information using sensor data, machine learning techniques and behavioral models.

Increasing User Acceptability: Ensure interactions with AI based vehicles understandable and reflect human-like behavior. Design user interfaces, alerts, and communication strategies that are intuitive, informative and respectful of human norms and expectations.