Comprehensive lane keeping system with mono camera

2015 ◽  
Author(s):  
Kyaw Ko Ko Htet ◽  
Tan Kok Kiong ◽  
Du Xinxin
Keyword(s):  
Lane Keeping

Vehicle assistance for lane keeping, lane departure avoidance and yaw stability. Approach by simultaneous steering and differential braking

2010 ◽  
Vol 44 (7) ◽  
pp. 811-851
Author(s):  
Nicoleta Minoiu enache ◽  
Saïd Mammar ◽  
Sébastien Glaser ◽  
Benoit Lusetti
Keyword(s):  
Lane Departure ◽  
Yaw Stability ◽  
Lane Keeping

scholarly journals Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study

Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 16
Author(s):  
Heng Zhou ◽  
Qian (Chayn) Sun ◽  
Alison Blane ◽  
Brett Hughes ◽  
Torbjörn Falkmer ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Speed Control ◽  
Executive Dysfunction ◽  
Case Control ◽  
Older Drivers ◽  
Control Performance ◽  
Post Stroke ◽  
Speed Regulation ◽  
Stroke Population ◽  
Lane Keeping

Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.

scholarly journals Development and Testing of a Methodology for the Assessment of Acceptability of LKA Systems

Machines ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 47 ◽  
Author(s):  
Luca Salvati ◽  
Matteo d’Amore ◽  
Anita Fiorentino ◽  
Arcangelo Pellegrino ◽  
Pasquale Sena ◽  
...  
Keyword(s):  
Force Feedback ◽  
Feedback System ◽  
Operating Conditions ◽  
Experimental Methodology ◽  
Driving Safety ◽  
Steering Wheel ◽  
Human In The Loop ◽  
Automation Systems ◽  
Driving Stability ◽  
Lane Keeping

In recent years, driving simulators have been widely used by automotive manufacturers and researchers in human-in-the-loop experiments, because they can reduce time and prototyping costs, and provide unlimited parametrization, more safety, and higher repeatability. Simulators play an important role in studies about driver behavior in operating conditions or with unstable vehicles. The aim of the research is to study the effects that the force feedback (f.f.b.), provided to steering wheel by a lane-keeping-assist (LKA) system, has on a driver’s response in simulators. The steering’s force feedback system is tested by reproducing the conditions of criticality of the LKA system in order to minimize the distance required to recover the driving stability as a function of set f.f.b. intensity and speed. The results, obtained in three specific criticality conditions, show that the behaviour of the LKA system, reproduced in the simulator, is not immediately understood by the driver and, sometimes, it is in opposition with the interventions performed by the driver to ensure driving safety. The results also compare the performance of the subjects, either overall and classified into subgroups, with reference to the perception of the LKA system, evaluated by means of a questionnaire. The proposed experimental methodology is to be regarded as a contribution for the integration of acceptance tests in the evaluation of automation systems.

Kinematics-based Fault-tolerant Techniques: Lane Prediction for an Autonomous Lane Keeping System

2018 ◽  
Vol 16 (3) ◽  
pp. 1293-1302 ◽  
Author(s):  
Chang Mook Kang ◽  
Seung-Hi Lee ◽  
Seok-Cheol Kee ◽  
Chung Choo Chung
Keyword(s):  
Fault Tolerant ◽  
Lane Keeping

DCFS-based deep learning supervisory control for modeling lane keeping of expert drivers

2021 ◽  
Vol 567 ◽  
pp. 125720
Author(s):  
Jin Chen ◽  
Dihua Sun ◽  
Min Zhao ◽  
Yang Li ◽  
Zhongcheng Liu
Keyword(s):  
Deep Learning ◽  
Supervisory Control ◽  
Lane Keeping

A Computationally Efficient Predictive Controller for Lane Keeping of Semi-Autonomous Vehicles

2014 ◽  
Author(s):  
Changchun Liu ◽  
Chankyu Lee ◽  
Andreas Hansen ◽  
J. Karl Hedrick ◽  
Jieyun Ding
Keyword(s):  
Autonomous Vehicles ◽  
Piecewise Linear ◽  
Computational Cost ◽  
Parametric Programming ◽  
Linear Feedback ◽  
Loop Model ◽  
Computationally Efficient ◽  
Feedback Function ◽  
Predictive Controller ◽  
Lane Keeping

Model predictive control (MPC) is a popular technique for the development of active safety systems. However, its high computational cost prevents it from being implemented on lower-cost hardware. This paper presents a computationally efficient predictive controller for lane keeping assistance systems. The controller shares control with the driver, and applies a correction steering when there is a potential lane departure. Using the explicit feedback MPC, a multi-parametric nonlinear programming problem with a human-in-the-loop model and safety constraints is formulated. The cost function is chosen as the difference between the linear state feedback function to be determined and the resultant optimal control sequence of the MPC problem solved off-line given the current state. The piecewise linear feedback function is obtained by solving the parametric programming with an approximation approach. The effectiveness of the controller is evaluated through numerical simulations.

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