The SALI project aimed at investigating how challenging runtime factors such as unpredictability, faults and limited resources affect and could be managed in self-driving vehicles (SDVs). In order to achieve that, a series of experiments have
Author(s)
Edith Zavala, Christian Berger, Xavier Franch, Jordi Marco
Year of publication
2018
Smart self-driving vehicle The project goal: SALI aims at providing an open software engineering solution to integrate self-*capabilities, e.g. self-healing and self-optimization, to self-driving vehicles in order to deal with runtime factors such as unpredictability, faults
A pilot project with three substudies (a literature survey, a workshop, and a field experiment at test track) is reported. The intent is to develop realistic and prototypical driving scenarios with associated patient-care tasks, for use
Author(s)
Zandra Åkerstedt, Björn Lidestam, Erik Prytz
Year of publication
2018
Akutvård under ambulansfärd: Naturalistiska data från simulerade typsituationer vid körning på testbana? Målen för detta projekt var att undersöka det aktuella kunskapsläget om akutsjukvård under ambulansfärd samt att samla in naturalistiska fordonsdynamiska data samt beteendedata vid
Since the rapid ourish of automobiles in the 21st century, the need for easier and faster transportation by means of automobiles has risen. In recent years, driving has ranged from being a daily routine task to
Author(s)
Abhishek Purushothaman, Adarsh Manjunath, Xiaomi Yang, Motasim Imtiyaz, Rashmi Ganjagunte Somashekhar
Year of publication
2019
How drivers respond if steering automation fails? We studied how drivers respond when steering automation fails. Especially, we were interested in where drivers look when they need to detect a steering automation failure and prepare for
The topic of this paper is the bigger picture of vehicle dynamics and handling characteristics of cars, with a focus on driving safety. More specifically, the directional stability gain obtained using the semi-active differential (DSLD) is
Author(s)
Mathias Lidberg, Jonas Alfredson
Published in
IAVSD Conference
Year of publication
2019
Year of publication
2019
Connected to the road with the Direction Sensitive Locking Differential (DSLD). The topic of this project is the bigger picture of vehicle dynamics and handling characteristics of cars and more specifically about highlighting a hidden potential

Safer – Vehicle and Traffic Safety Centre

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.

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