Blog

Case Study: Key Challenges For Driver Drowsiness Assessment To Build Ground Truth

Several studies have been conducted some decades ago to understand driver drowsiness, its assessment and the ways to mitigate its effects to avoid or reduce fatal road crashes. The driver self-report is a subjective measurement well admitted in the drowsiness context. However, studies that compare the driver’s self-report with observer ratings are very scarce. ThisRead more

Refreshment Break & Networking

  During our networking breaks, you will have the opportunity to make new contacts and deal intensively with various topics in small groups.Read more

Lunch Break & Networking

During our networking breaks, you will have the opportunity to make new contacts and deal intensively with various topics in small groups.Read more

Case Study: Need for occupant sensing for driver takeover with automated driving

The presentation will explore the critical aspects of in-cabin sensing, from ensuring user safety to enabling a positive user experience beyond regulatory needs. We will also dive deep into the validation, verification, and simulation of in-cabin sensing technology. In this session, you will find out more about  The importance of in-cabin sensing technology for userRead more

Closing remarks by the Event Chair & we.CONECT Global Leaders

After an insightful & productive day full of presentations & discussions from the industry, our Event Chair concludes the second event day with a short summary of the most important insights from the sessions.Read more

Solution Study: Beyond the Beep – Unveiling the Algorithmic Challenges of Driver Monitoring Systems

Driver monitoring systems (DMS) hold promise for improving road safety by detecting driver drowsiness and distraction, but what if these systems fall short? How do limitations in the algorithm’s capabilities to provide signals that are both robust and accurate affect the system’s ability to enhance traffic safety? This talk will delve into: the shortcomings ofRead more

Case Study: Light-Ride – Enhancing the Mental Health of Passengers During the Ride Through Light and Guided Breathwork

How can light pulses in the vehicle interior improve the performance and well-being of the passengers? Scientists at the Fraunhofer IAO are researching answers to this question at the Mass Personalization High-Performance Center in the “Mobility and Living Spaces” department. As part of an international research collaboration with a non-profit scientific research foundation, an initialRead more

Solution study: Defining the Future of Advanced Occupant Monitoring Systems

This presentation explores the multifaceted capabilities of in-car cameras and user interfaces with “eyes”. Focusing on enhancing user experience (UX) through occupant monitoring systems, we demonstrate how AI can generate user interfaces (GenUIn). The discussion is emphasizing the integration of Generative AI models, deep learning and sensor fusion to unlock the full potential of automotiveRead more

Industry Overview: How Regulations Will Transform Car HMI

New regulations in Europe and elsewhere around the world are altering human interactions in cars. From safety to security to content consumption – in-car experiences taking advantage of driver monitoring for credentialing drivers and detecting driver mood, health, and attentiveness. This is opening the door to new opportunities for designers and engineers.Read more

Case study: Utilizing Generative AI for Improved Human-Machine Interfaces

The utilization of generative AI plays a pivotal role in influencing the evolution of Human-Machine Interfaces (HMIs) by emphasizing a transition from traditional manual design methods to harness the capabilities of conversational AI driven by language modules. Through the exploration of the fusion of contextual comprehension and generative features, a distinctive approach is uncovered, reshapingRead more