8 citations · 13 across the 11 of their papers we have counts for
5 papers · 1 filter
A Maneuver-based Urban Driving Dataset and Model for Cooperative Vehicle Applications
Behrad Toghi, Divas Grover, Mahdi Razzaghpour +5
Short-term future of automated driving can be imagined as a hybrid scenario in which both automated and human-driven vehicles co-exist in the same environment. In order to address…
Representing Realistic Human Driver Behaviors using a Finite Size Gaussian Process Kernel Bank
Hossein Nourkhiz Mahjoub, Arash Raftari, Rodolfo Valiente +2
The performance of cooperative vehicular applications is tightly dependent on the reliability of the underneath Vehicle-to-Everything (V2X) communication technology. V2X standards,…
Intelligent Wide-band Spectrum Classifier
M. O. Mughal, Behrad Toghi, Sarfaraz Hussein +1
We introduce a new technique for narrow-band (NB) signal classification in sparsely populated wide-band (WB) spectrum using supervised learning approach. For WB spectrum acquisitio…
V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures
Hossein Nourkhiz Mahjoub, Behrad Toghi, S M Osman Gani +1
Scalable communication is of utmost importance for reliable dissemination of time-sensitive information in cooperative vehicular ad-hoc networks (VANETs), which is, in turn, an ess…
Composite α-μ Based DSRC Channel Model Using Large Data Set of RSSI Measurements
Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, S M Osman Gani +1
Channel modeling is essential for design and performance evaluation of numerous protocols in vehicular networks. In this work, we study and provide results for largescale and small…