TY - GEN
T1 - Development and design of a platform for arbitration and sharing control applications
AU - Perez, Joshue
AU - Gonzalez, David
AU - Nashashibi, Fawzi
AU - Dunand, Gwenael
AU - Tango, Fabio
AU - Pallaro, Nereo
AU - Rolfsmeier, Andre
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - In this paper, a description of the ADAS development platform in DESERVE project framework is presented. This work is framed within the Sub Project 2 (Development platform) of DESERVE project, and it is divided in 6 different and complementary lines of work. Most of the functions described in the tools and development systems, perception layer and the platform system architecture show the modularity and scalability of our proposal. Moreover, based on vehicle modelling, driver behaviour and intention, a first approach for arbitration and control strategies, which can anticipate the priorities on the control in emergency situations, is described. Furthermore, some simulations will allow the virtual testing for the future implementation in demonstrators. The presented work is the core of DESERVE project, and it is developed in parallel with Driver behaviour and HMI activities (SP3). This work presents some of the achievements in SP2, mainly the application platform integration in one of the demonstrators, along with the arbitration and sharing control, based on intelligent techniques (Fuzzy logic). Simulation shows the feasibility of proposal. This approach will be tested, integrated and validated in a real vehicle in the next stages of the project.
AB - In this paper, a description of the ADAS development platform in DESERVE project framework is presented. This work is framed within the Sub Project 2 (Development platform) of DESERVE project, and it is divided in 6 different and complementary lines of work. Most of the functions described in the tools and development systems, perception layer and the platform system architecture show the modularity and scalability of our proposal. Moreover, based on vehicle modelling, driver behaviour and intention, a first approach for arbitration and control strategies, which can anticipate the priorities on the control in emergency situations, is described. Furthermore, some simulations will allow the virtual testing for the future implementation in demonstrators. The presented work is the core of DESERVE project, and it is developed in parallel with Driver behaviour and HMI activities (SP3). This work presents some of the achievements in SP2, mainly the application platform integration in one of the demonstrators, along with the arbitration and sharing control, based on intelligent techniques (Fuzzy logic). Simulation shows the feasibility of proposal. This approach will be tested, integrated and validated in a real vehicle in the next stages of the project.
KW - ADAS
KW - Arbitration
KW - Control
KW - Embedded Systems
KW - Virtual testing
KW - modelling
UR - https://www.scopus.com/pages/publications/84907897423
U2 - 10.1109/SAMOS.2014.6893228
DO - 10.1109/SAMOS.2014.6893228
M3 - Conference contribution
AN - SCOPUS:84907897423
T3 - Proceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014
SP - 322
EP - 328
BT - Proceedings - International Conference on Embedded Computer Systems
A2 - Veidenbaum, Alexander V.
A2 - Galuzzi, Carlo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014
Y2 - 14 July 2014 through 17 July 2014
ER -