TY - JOUR
T1 - Modelling the Level of Trust in a Cooperative Automated Vehicle Control System
AU - Rosenstatter, T.
AU - Englund, C.
N1 - Cited By :22
Export Date: 14 December 2023
Correspondence Address: Rosenstatter, T.; School of Information Technology, Sweden; email: [email protected]
Funding text 1: Manuscript received November 30, 2016; revised April 22, 2017 and June 28, 2017; accepted July 7, 2017. Date of publication October 2, 2017; date of current version March 28, 2018. This work was supported in part by the Swedish CoAct Project, in part by Fengco, in part by TASS International, and in part by Volvo Cars. The Associate Editor for this paper was J. Ploeg. (Corresponding author: Thomas Rosenstatter.) T. Rosenstatter was with the School of Information Technology, Halmstad University, SE-302 50 Halmstad, Sweden, and also with the Information Technology and Systems Management, Salzburg University of Applied Sciences, A-5412 Salzburg, Austria. He is now with Chalmers University, 412 58 Gothenburg, Sweden (e-mail: [email protected]).
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PY - 2018
Y1 - 2018
N2 - Vehicle-to-vehicle communication is a key technology for achieving increased perception for automated vehicles, where the communication enables virtual sensing by means of sensors in other vehicles. In addition, this technology also allows detection and recognition of objects that are out-of-sight. This paper presents a trust system that allows a cooperative and automated vehicle to make more reliable and safe decisions. The system evaluates the current situation and generates a trust index indicating the level of trust in the environment, the ego vehicle, and the surrounding vehicles. This research goes beyond secure communication and concerns the verification of the received data on a system level. The results show that the proposed method is capable of correctly identifying various traffic situations and how the trust index is used while manoeuvring in a platoon merge scenario. © 2011 IEEE.
AB - Vehicle-to-vehicle communication is a key technology for achieving increased perception for automated vehicles, where the communication enables virtual sensing by means of sensors in other vehicles. In addition, this technology also allows detection and recognition of objects that are out-of-sight. This paper presents a trust system that allows a cooperative and automated vehicle to make more reliable and safe decisions. The system evaluates the current situation and generates a trust index indicating the level of trust in the environment, the ego vehicle, and the surrounding vehicles. This research goes beyond secure communication and concerns the verification of the received data on a system level. The results show that the proposed method is capable of correctly identifying various traffic situations and how the trust index is used while manoeuvring in a platoon merge scenario. © 2011 IEEE.
KW - autonomous driving
KW - cooperative driving
KW - GCDC 2016
KW - reliability
KW - trust
KW - vehicle-to-vehicle communication
KW - Ad hoc networks
KW - Automation
KW - Control system synthesis
KW - Control systems
KW - Cooperative communication
KW - Decision making
KW - Kalman filters
KW - Mobile telecommunication systems
KW - Object detection
KW - Radar
KW - Reliability
KW - Vehicles
KW - Vehicular ad hoc networks
KW - Autonomous driving
KW - Cooperative driving
KW - Sensor systems
KW - Vehicle to vehicle communications
U2 - 10.1109/TITS.2017.2749962
DO - 10.1109/TITS.2017.2749962
M3 - Article
SN - 1524-9050
VL - 19
SP - 1237
EP - 1247
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 4
ER -