Driver Steering Assistance for Lane-Departure Avoidance Based on Hybrid Automata and Composite Lyapunov Function

Enache, Nicoleta Minoiu; Mammar, Saïd; Netto, Mariana; Lusetti, Benoît

doi:10.1109/tits.2009.2026451

Cited by 126 publications

(48 citation statements)

References 18 publications

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“…In the last period, 2007-2011, several advance developments on specific topics of autonomous vehicle control were carried out: lane change [36], unintended lane departure [37], etc.…”

Section: • the Thematic Areas Vehicle-and-road-tracking And Traffic-fmentioning

confidence: 99%

A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

Cobo

Chiclana

Collop

et al. 2014

IEEE Trans. Intell. Transport. Syst.

126

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Abstract-In this paper we highlight the conceptual structure of the Intelligent Transportation Systems (ITS) research field in the period 1992-2011. To do that, an automatic approach for detecting and visualizing hidden themes and their evolution across a consecutive span of years is applied. This automatic approach, based on co-word analysis, combines performance analysis and science mapping. To show the conceptual evolution of ITS, three consecutive periods have been defined:

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“…In the last period, 2007-2011, several advance developments on specific topics of autonomous vehicle control were carried out: lane change [36], unintended lane departure [37], etc.…”

Section: • the Thematic Areas Vehicle-and-road-tracking And Traffic-fmentioning

confidence: 99%

A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

Cobo

Chiclana

Collop

et al. 2014

IEEE Trans. Intell. Transport. Syst.

126

View full text Add to dashboard Cite

show abstract

“…Autonomous ground vehicle (AGV) has the great advantages including the improved security, better road utilization, and reduced mobility costs, and thus it has become an emerging research focus worldwide [2]. One of the principal control issues for AGVs is path tracking [3][4]. To guarantee the vehicle lateral stability, it is essential to consider the lateral dynamics for the path tracking control of ground vehicles, which has always been very important and extensively researched.…”

Section: Introductionmentioning

confidence: 99%

Path Tracking Control for Uncertainty Vehicles via LMI Optimization

Yang¹,

Chen

Shu

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-This paper studies the path tracking control of fourwheel steering autonomous vehicles in presence of uncertainties of tire-road condition, modeling uncertainties, and unexpected disturbances. Due to the fast convergence of the wheel subsystem, the simplified vehicle model can be developed based on the singular perturbation. Both the state feedback and the observer-based output feedback controllers are derived using the linear matrix inequalities. The main results rely on a multi-objective approach which can handle various closed-loop specifications, such as disturbance rejection and robust stabilization on different channels within the LMI (Linear Matrix Inequalities) synthesis framework. Simulation results show that the proposed controller can effectively improves the path tracking performance.

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“…Most of the lane guidance systems in the literature keep the vehicle in the center of the lane once they have been activated and might be classified as assistance systems. In some contributions, also the transition criteria are considered [8], [10], [2]. In [8], the authors proposed that a steering intervention should drive the vehicle to a safe position in the center of the lane only if there is a risk that crossing the lane marking might lead to a collision with a vehicle in the adjacent lane.…”

Section: Introductionmentioning

confidence: 99%

“…This is a restrictive approach, where many situations could be excluded in order to eliminate misuse and nuisance. In [10], the authors proposed that a lateral controller should be activated once a driver monitoring device has detected that the driver is drowsy. This is a viable option for situations where the driver is drowsy, given that driver monitoring systems are sufficiently reliable.…”

Section: Introductionmentioning

confidence: 99%

Model-based threat assessment in semi-autonomous vehicles with model parameter uncertainties

Ali

Falcone

Sjöberg

2011

IEEE Conference on Decision and Control and European Control Conference

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Abstract-In this paper, we consider model-based threat assessment methods which rely on vehicle and driver mathematical models and are based on reachability analysis tools and set invariance theory. We focus on the parametric uncertainties of the driver mathematical model and show how these can be accounted for in the threat assessment. The novelty of the proposed methods lies in the inclusion of the driver model uncertainties in the threat assessment problem formulation and in their validation through experimental data. We show how different ways of accounting for the model uncertainties impact the capabilities and the effectiveness of the proposed algorithms in detecting hazardous driving situations.

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Driver Steering Assistance for Lane-Departure Avoidance Based on Hybrid Automata and Composite Lyapunov Function

Cited by 126 publications

References 18 publications

A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping

Path Tracking Control for Uncertainty Vehicles via LMI Optimization

Model-based threat assessment in semi-autonomous vehicles with model parameter uncertainties

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