C
Chouki Sentouh
Researcher at Centre national de la recherche scientifique
Publications - 80
Citations - 1677
Chouki Sentouh is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Control theory & Computer science. The author has an hindex of 19, co-authored 68 publications receiving 1123 citations. Previous affiliations of Chouki Sentouh include Institut de Recherche en Communications et Cybernétique de Nantes & University of Valenciennes and Hainaut-Cambresis.
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Journal ArticleDOI
Driver-Automation Cooperative Approach for Shared Steering Control Under Multiple System Constraints: Design and Experiments
TL;DR: A new approach to consider the shared lateral control between a human driver and a lane keeping assist system of intelligent vehicles for both lane keeping and obstacle avoidance via a fictive driver activity parameter introduced into the road–vehicle system is proposed.
Proceedings ArticleDOI
A sensorimotor driver model for steering control
TL;DR: The present study is looking for a cybernetic model of a driver steering road vehicle, which makes the sensorimotor dynamics explicit, and takes into account both visual and kinesthetic perception, and includes compensatory and anticipatory processes.
Journal ArticleDOI
Driver-Automation Cooperation Oriented Approach for Shared Control of Lane Keeping Assist Systems
TL;DR: The core idea is to combine system perception with robust control so that the proposed strategy can successfully share the control authority between human drivers and the LKA system.
Journal ArticleDOI
A New Control Strategy of an Electric-Power-Assisted Steering System
TL;DR: The control of electric-power-assisted steering systems is a challenging problem due to multiple objectives and the need for several pieces of information to implement the control, but the proposed strategy improves system performance and robustness and reduces costs.
Journal ArticleDOI
Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy
TL;DR: In this article, a new shared control method for lane keeping assist (LKA) systems of intelligent vehicles is presented, which allows the LKA system to effectively share the control authority with a human driver by avoiding or minimizing the conflict situations between these two driving actors.