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The landscape of Advanced Driver Assistance Systems (ADAS) is rapidly evolving, driven by innovations in artificial intelligence, sensor technology, and connectivity. These advancements aim to enhance road safety and improve the driving experience by predicting and responding to dynamic driving environments. However, one of the persistent challenges in ADAS is accurately predicting situational awareness — […]

Adaptive Multimodal interaction allows autonomous cars to effectively communicate with drivers, ensuring safety, minimizing distractions. Adaptability is a key capability to ensure the driver’s performance, to enhance driver’s experience and to improve trust in the autonomous system. It is achieved by integrating various interaction modalities. However, interfaces and interaction may vary depending on driving context […]

With the widespread adoption of Highly Automated Vehicles (HAVs), critical safety risks may arise. Vulnerable road user interaction and mixed traffic are included in these risks. The barriers to the market introduction of HAVs primarily stem from concerns related to safety and human factors. Therefore, the expected new safety-critical situations need to be addressed, especially […]

When it comes to vehicle safety, much progress has been made over the last two decades by enacting enhanced regulations and extensive testing through governing bodies and consumer testing programs to ensure the well-being of road-users. However, to reduce road traffic deaths by 50% by 2030, much work is still to be done. One element […]

The ITS Euskadi Congress 2023 represented a significant milestone in the ongoing discourse on Intelligent Transport Systems (ITS) and their influence on the future of mobility. Held on November 17th, 2023, in Bilbao, Spain, the congress served as a gathering point for policymakers, industry experts, researchers, and stakeholders discussing the evolution of automated and connected […]

The main objective of AWARE2ALL is to address the new safety challenges posed by the introduction of highly autonomous vehicles in mixed road traffic through the development of inclusive and innovative safety (passive and active) and external and internal Human-Machine Interaction (HMI) systems that will consider the variety of road users and will objectively demonstrate relevant […]

Situation-aware multimodal interaction in cars is about developing interfaces and systems that can adapt and react to the dynamic context of the driving environment. This approach recognizes that the optimal way in which a driver interacts with in-vehicle systems may depend on factors such as traffic conditions, weather, the driver's condition and other situational aspects. […]

Imagine, you are driving a fully automated vehicle on the highway, destination: holidays in the South of France. The vehicle is continuously driving in automated mode, already for hours, so you are leaning backwards in your chair, enjoying the sun on your face and listening to a very interesting podcast. You feel totally relaxed and […]

The AWARE2ALL Use Cases (UCs) aim at the identification of the priority areas of research and developments in the project, linked to its four Demonstrators that are planned to be tested during the third year of the project. All project’s UCs meet users needs and preliminary acceptance, as well as stakeholders interest, corresponding also to […]

Driver Monitoring Systems (DMS) are "intelligent" algorithms that monitor the state of the occupants in a vehicle, which can be used for security, comfort, and entertainment purposes. As a researcher in this topic, I find it fascinating to explore the different functionalities that are being developed among the many possibilities one can think of. The […]