Autonomous vehicles safety
HAVs can introduce additional safety risks that will result in new safety-critical situations that must be addressed. Some of these additional safety risks are, among others: component failures, increased risk-taking, unconventional seating position and occupant postures, increased vehicle travel, interaction with VRUs and also mixed traffic (HAVs interacting with Human Driven Vehicles – HDVs).
The obstacles for HAVs introduction in the market mainly come from safety and human factors concerns. Hence, the expected new safety-critical situations must be addressed, especially those involving human road users (HRUs). To overcome these obstacles, AWARE2ALL will work in different complementary fields:
Develop one virtual prototype of passive safetyDevelop one virtual prototype of passive safety (D1), based on a restraint system that extends the occupant protection range by addressing the variety of possible occupant postures and orientations. This prototype will take a large diversity of occupants into account, also considering additional information about body motion due to vehicle dynamics from pre-crash systems.
Develop two active safety physical prototypesDevelop two active safety physical prototypes (D2, D3) to ensure that the vehicle is able to anticipate hazardous situations and act proactively. D2 will address Autonomous Emergency Braking (AEB) and evasive manoeuvring for situations in which a driver is not available (e.g. shuttles). D3 will address transition of control strategies (handover/handback) for situations in which a driver is available (e.g. shared vehicle).
Development of a hybrid (virtual and physical) prototypeDevelopment of a hybrid (virtual and physical) prototype (D3) of iHMI that will adapt, dynamically, the required bi-directional interaction with the driver/occupants, to either maintain certain situation awareness, or to nudge the occupants to the optimal state according to the evolving environment by proposing a new cognitive empathic augmented HMI. Methods, tools and mechanisms will be defined to determine the discrepancies between the measured or observed occupant states with respect to the determined optimal occupant state(s).
The system detects that the occupant(s) are not able to take over controlCurrent ODD definitions are only linked to the design parameters of sensors and functions and do not consider occupant state. AWARE2ALL propose the extension of the ODD definition by including occupant/driver state definition, e.g., even when a HAV is functioning well, if the system detects that the occupant(s) are not able to take over control when needed, it might decide to issue warnings or change vehicle behaviour (reduce speed, not perform any lane changes, ...).
Develop an eHMI physical prototype (D4) for effective communication and interaction with HRUThe system will include 2 modules: a perception system (to detect the type of user and the situation through image processing) and a communication system (additional components integrated with technologies using light and sounds to adapt the message to the receiver and the situation). Focus will be the diversity of population (gender, age, digital ability, culture) and a framework for communication strategies will be developed.
Testing methods and tools for performanceDevelop innovative testing methods and tools for performance assessment of AWARE2ALL safety and HMI solutions by using virtual and physical tools to validate the four demonstrators and showcase their impact in HAV safety for occupants and HRUs.
Methodology & Workplan
Promoting safe interaction
Solutions for safety and security concerns in autonomous vehicles
This demo will showcase an au-
tomated L4 shuttle, on a PIX-Robobus platform property of TEC, deploying
strategies for fallback and emergency situations on system components/sensors failure including fail-operational functionalities, such
as AEB, evasive manoeuvring, or safe/comfortable stops.
This demonstrator is based on a Renault platform installed in the IRTSX driving simulator with environment visualization based on openStreet maps and vehicle dynamics simulation including active safety features.