aware2all

Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles.

Safety systems for autonomous vehicles

Why are safety systems for autonomous vehicles necessary?

In 2020, someone died on European roads every 25 minutes, with a total of 18,844 people that lost their lives. It represents an unprecedented annual fall of 17% on 2019 result of lower traffic volumes due to the COVID-19 pandemic, but it is expected that traffic accidents will soar again once the pandemic subsides. More than 46% of those killed in Europe in 2018 were Vulnerable Road Users (VRUs) – pedestrians, cyclists and motorcyclists – and it was estimated that human error was involved in about 95% of all road traffic accidents. HAVs have the potential to improve road safety by reducing crashes due to driver error and also by representing an alternative to high-risk drivers (e.g., drunk or distracted drivers).
More than 46% of those killed in Europe in 2018 were Vulnerable Road Users (VRUs) – pedestrians, cyclists and motorcyclists – and it was estimated that human error was involved in about 95% of all road traffic accidents.

Object: Safety systems and human-machine interfaces oriented to diverse population

AWARE2ALL aims to pave the way towards the deployment in traffic of highly automated vehicles (HAV) – Connected and Automated Vehicles (CAVs) presenting SAE-L4 features – by effectively addressing the changes in road safety and in the interaction of different human road users (HRUs) caused by the emergence of HAV.

The project will develop safety systems adapted to these new scenarios in mixed traffic along with the corresponding assessment tools and methodologies. Two perspectives are considered:

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Project: Development of safety systems for HAVs in mixed traffic

The Horizon Europe (HE) project will develop safety systems adapted to these new scenarios in mixed traffic along with the corresponding assessment tools and methodologies. Two perspectives are considered:

1 —

Inside the vehicle

Oriented to occupant safety: a continuous occupant state monitoring (OMS) will assess the interior situation (e.g., activities performed by the occupants). In case of an emergency situation (e.g., sudden reach of the ODD limit due to an abrupt change of weather), the OMS will decide if it is possible to perform a transition of control to a driver or to perform a fallback manoeuvre and avoid a collision. If a collision is unavoidable, then advanced passive safety systems are adapted to the occupant status to reduce the severity of injuries. At any time, the behaviour of HAV systems needs to be adequately and timely communicated to the occupants by internal HMI (iHMI).

2 —

Outside the vehicle

Oriented to HRUs safety: a surround perception system will allow the HAV to identify the HRUs behaviour and to anticipate safety critical situations. By allowing the vehicle to effectively communicate with HRUs through external HMI (eHMI), dangerous situations could be avoided.

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Introduction to AWARE2ALL: Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles.

Introduction to AWARE2ALL: Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles.

11 / 06 / 24

In ITS European Congress 2023 (Lisbon, Portugal), was presented this paper introducing AWARE2ALL to the world. Don't miss the chance to read more about AWARE2ALL and see its evolution. Check the full publication at: https://zenodo.org/records/10931414

News
Enhancing Situational Awareness in Advanced Driver Assistance Systems Using Fuzzy Logic: Innovations and Applications

Enhancing Situational Awareness in Advanced Driver Assistance Systems Using Fuzzy Logic: Innovations and Applications

6 / 06 / 24

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 — […]

News
Adaptive multimodal interaction in autonomous cars

Adaptive multimodal interaction in autonomous cars

4 / 06 / 24

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 […]

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