What Comes Next for DMS+OMS: A Conversation with Tobii

What Comes Next for DMS+OMS A Conversation with Tobii

We spoke to Carmen PătraÈ™cu, who leads Tobii’s interior sensing Sales and Marketing, about what comes after the world’s first single-camera DMS+OMS solution reaches the road, and how broader adoption can open the next chapter of interior sensing.

As Head of Sales and Marketing, Carmen works where Autosense technology meets the market. Her focus is not only on turning complex engineering into a clear proposition, but also on understanding what different OEMs and Tier 1s need to move from interest to implementation.

How Multimodal Sensing Is Transforming Occupant Monitoring

How Multimodal Sensing Is Transforming Occupant Monitoring Antolin ICEUR26

Understanding the occupant is moving beyond traditional camera-based monitoring.

Radar, physiological sensing, audio and vision can work together to build a richer picture of a person’s physical, cognitive and emotional state, opening new possibilities for safety, wellbeing and personalisation. Diego Val, Head of Research Programs – New Solutions & Technologies in the Innovation Department at and Iñigo Mateo, Corporate Innovation Directorate at Antolin, discuss how multimodal sensing and sensor fusion could enable more robust occupant monitoring, and the challenges of integrating these technologies seamlessly into the vehicle interior.

How Hand-Tracking Is Shaping the Future of In-Cabin Monitoring

How Hand-Tracking Is Shaping the Future of In-Cabin Monitoring Agnes Jernström Neonode ICEUR26

From detecting distraction to predicting driver intent, hand-tracking is becoming an increasingly valuable part of the intelligent cockpit.

As in-cabin monitoring evolves beyond traditional gaze and facial analysis, advances in computer vision are unlocking new ways to understand driver behaviour and create safer, more intuitive human-machine interfaces. In this interview, Agnes Jernström, Senior Software Engineer at Neonode, explains how hand-tracking is helping to advance occupant monitoring and the next generation of in-cabin AI.

Why Context Matters More Than Detection in Driver Monitoring

Why Context Matters More Than Detection in Driver Monitoring

Most driver monitoring systems are built on rule-based logic and fixed thresholds.

These approaches are straightforward to implement and validate, but they struggle to capture the variability of real-world driving. The same behaviour can represent very different levels of risk depending on vehicle dynamics, road environment, and task load.

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