Assess vehicle experience using immersive cockpit

Test, calibrate and evaluate your HMI solutions and AI models for Autonomous Vehicle

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Driving Experience

Monitor drivers behaviors using advanced biometric sensors to enhance safety and confort.

Customizable Platform

Simulate different driving conditions to test and calibrate AI systems inside the cockpit.

Data collection

Quickly create behavioral datasets to train AI models and promote inclusivness.

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# Driving simulator

In cooperation with industry experts, we have built Cockpit Studio Lab, an evaluation platform that can help to study occupant state and behavior in autonomous vehicle.

The system is composed of a real vehicule positioned in front of a 180° hemispheric screen displaying a realistic driving simulation. Its goal is to replicate driving experience in an immersive and ecological way.

Cockpit Studio Lab can be used to evaluate the driver experience in transitions between different automation SAE driving levels (L0, L1, L2, L3/L4), with a particular focus on transitions to/from L3/AD (Autonomous Driving).



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# Human factors

Cockpit studio Lab can be used to assess driver reassurance, during AD phases, to avoid unnecessary handovers, and thus maximize the time spent in this mode.

It enables to collect driver's behavior and state data in many different driving and traffic conditions, especially in critical and dangerous situations that are impossible to record in the real world as they involve safety concerns.

Behavioral datasets can be created for specific configuration and shared to improve driving AI and algorithms for autonomous driving systems.




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# Adaptive HMI

Communication between drivers and autonomous systems is a crucial question in terms of the sensori-modalities and the driver's interpretability of the information.

Cockpit Studio Lab can help define and evaluate the best possible combinations of HMI solutions involving different senses (sight, hearing, touch) while promoting inclusiveness by considering driver's disabilities.

Using adaptive HMI, we also study how it can reduce driver's cognitive workload, improve intuitiveness and situation awareness.