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Eye tracking technology is revolutionizing automotive research by providing critical insights into driver behavior and vehicle interaction. This technology enhances driving safety and the overall driver experience, offering researchers the tools to delve into various aspects of automotive development and road safety.
In our recently launched eBook on the role of eye tracking in automotive research, we dive into how a number of organizations are currently using eye tracking technology in their research studies. Check out these examples to learn more:
VI-grade’s DiM (Driver-In-Motion) simulators benefit from Smart Eye Pro‘s real-time monitoring of physiological parameters like heart rate and pupil dilation. This integration enables detailed analysis of driver reactions under various scenarios, enhancing the simulation’s realism. Smart Eye’s eye trackers offer over 100 output measurements, including gaze direction and pupilometry, at up to 120Hz. This data is crucial for understanding driver behavior and improving simulation accuracy.
“Adding human driver data like pupil dilation, blink and gaze enables our customers to further advance the understanding of how humans behave and thereby helping the development towards a better real-world like simulation.” – Diego Minen, CTO, VI-grade
About DiM Simulators: VI-grade’s simulators bridge the gap between virtual prototyping and real-world testing with advanced motion feedback and scalable configurations, ensuring high-fidelity simulation at a reduced cost.
Toronto Rehabilitation Institute’s DriverLab uses Smart Eye Pro to enhance driving simulations aimed at improving road safety. The robust eye tracking system helps in assessing driver performance and the effects of various factors like medications on driving.
“We would happily recommend the Smart Eye Pro system to any researcher needing robust remote eye tracking.” – Bruce Haycock, Scientist, KITE
Solution & Results: Smart Eye Pro was chosen for its reliable performance and ease of integration. It helped DriverLab continue research even during the COVID-19 pandemic by enabling masked face tracking, ensuring ongoing safety and data collection.
Tongji University uses Smart Eye’s eye tracking to study driver psychology and develop personalized driving systems. Their research focuses on lane keeping and automatic lane changing based on driver state and gaze interaction.
“Our laboratory has developed prototypes for lane keeping and automatic lane changing functions based on driver state and gaze interaction.” – Professor Hui Chen, Tongji University
Solution & Results: Smart Eye’s non-invasive eye tracking devices provide high detection accuracy and integrate seamlessly with other hardware, facilitating advanced research in driver assistance systems and autonomous driving.
Georgia Tech’s Sonification Lab leverages Smart Eye’s eye tracking technology to study driver gaze and behavior in dynamic environments. This helps in designing better human-vehicle interfaces and understanding driver responses.
“We are excited about the emotion capabilities and accurate gaze tracking offered by Smart Eye’s new products.” – Professor Bruce Walker, Georgia Tech
Solution & Results: Smart Eye provided the lab with flexible, research-grade eye tracking solutions. This enabled comprehensive data collection and analysis, enhancing research on human-automation interaction in vehicles.
The University of North Dakota (UND) Research Institute for Autonomous Systems (RIAS) embarked on a groundbreaking project, leveraging eye-tracking technology from Smart Eye and iMotions. This collaboration aimed to push the boundaries of understanding in-vehicle dynamics and significantly enhance research capabilities.
Background: UND RIAS, a leader in autonomous systems research, needed a deeper understanding of driver and passenger behavior. Traditional methods lacked the depth and accuracy required to study complex human interactions within vehicles.
Customer Goals and Objectives:
-Gain profound insights into driver and passenger behavior.
-Enhance safety and efficiency through data-driven insights.
-Establish UND RIAS as a trailblazer in autonomous systems research.
Selection Process: After meticulous evaluation, UND selected Smart Eye and iMotions for their innovative hardware and software integration, particularly the versatile Smart Eye Pro platform and the comprehensive biosensor capabilities of iMotions.
The Solution: The solution included Smart Eye’s advanced eye-tracking hardware integrated with iMotions’ research platform, featuring multiple cameras, EEG data collection modules, and emotion sensing capabilities for in-depth research.
Implementation Process: Despite challenges in the unconventional environment of a Humvee, UND, with Smart Eye’s assistance, successfully implemented the technology, addressing temperature extremes and mechanical issues, transforming the Humvee into a robust research tool.
Results and Benefits:
-Unprecedented insights into driver and passenger behavior.
-Real-time, actionable data for improved safety and efficiency.
-Enhanced situational awareness beyond laboratory constraints.
Phil, UND RIAS: “Working with Smart Eye was truly enjoyable. Their expertise in eye tracking and dedication to our research’s success were evident at every step, making the implementation process both successful and enjoyable.”
Rob, Smart Eye: “Collaborating with UND was rewarding. Their commitment to pushing boundaries aligned perfectly with our mission to provide groundbreaking eye-tracking solutions.”
Nam, iMotions: “Seeing our technology contribute to UND’s research was gratifying. Integrating eye-tracking with biosensors showcased the true potential of comprehensive research setups.”
Conclusion: The UND, Smart Eye, and iMotions collaboration exceeded expectations. The fusion of cutting-edge hardware and software has set new standards in autonomous systems research, positioning UND RIAS as a pioneering institution in the field.
Get in touch with our team to learn more about our solutions and request a live demonstration. In the meantime, download your own copy of this eBook now to uncover how eye tracking is transforming automotive research, driving human-centric mobility, and shaping the future of transportation.
