The purpose is to take the first steps in our vision of a cooperative self-driving vehicle that can handle challenging city traffic and changing weather conditions. The focus is on using cooperation between vehicles to safely navigate complex inner-city scenarios.
The main objective with Revere (Resource for Vehicle Research) is to enable that ideas related to vehicles are developed into cutting edge research and break-through innovations, in particular within automated driving and collision avoidance. Revere contains a research lab and
SafetyCube stands for Safety CaUsation, Benefits and Efficiency. It is a 3-year Horizon 2020-project centered around state of the art evaluations of accident risk factors and safety measures based on accident data analysis and on in-depth understanding of causes of
The Handbook of Road Safety Measures summarizes international research on road safety. The main focus is to summarize results from crash studies, as far as possible by use of meta-analysis. The book contains measures on the areas: Road design and
The aim of the project is to develop material models for adipose tissue, calibrate them against experimental data, and to analyze how spread in experimental data used to calibrate model carries over to accuracy in HBM simulations using the calibrated
Human Body Models (HBMs) are valuable tools to simulate the pre-crash and in-crash occupant response in order to develop advanced restraint systems and reconstructions of real world crashes. Also, HBMs offer possibilities to understand injury mechanisms on a detailed level
Moving towards autonomous driving there is a need for tools that can support the development of the autonomous vehicle braking and avoidance systems by comparing the outcome of crashes (when a crash is unavoidable) at various crash directions and severity
The project aims at methods for efficient development and test of the software intense ICT functions enabling modern active safety functions for automated and assisted vehicles using on-board sensors and information exchange via wireless communication enabling cooperative system solutions. The
The scope of this project is to create a technological and a scientific platform to develop and test active safety and cooperative applications for VRU at SAFER. Such platforms should: 1) build up on the previous work performed in the
Vehicular system designers often use simulation tools in order to prove vehicular systems.The computational complexity of detailed simulations limits the scale of such testings.Therefore, it is often the case that the first full-scale demonstrations of new concepts for vehicular systems
The project will contribute to the design of an Active Safety Function which avoids or mitigates the consequent collisions after the first collision in multiple-events accidents. Current Electronic Stability Control (ESC) systems are well developed for the control of vehicle
Fatigue is a major cause of traffic accidents although the exact proportion is unknown. The main reasons for this are the blurred concept of fatigue, the inexistence of a validated and reliable device for detecting the level of sleepiness (d.
Background: A large number of accidents are due to the driver falling asleep. Thus detecting drowsiness on drivers is an important challenge within to improve safety. Among the different types of measurements physiological measurements start changing at the earliest stage
This project aims at driving situations where the driver is objected to transient disturbances in, or leading to, safety critical situations. Several such situations will be studied, whereof at least some will be situations where aerodynamics is the cause of
SAFER is the open innovation arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.