Design of lane keeping assist system for autonomous vehicles

Mammeri, Abdelhamid; Lu, Guangqian; Boukerche, Azzedine

doi:10.1109/ntms.2015.7266483

Cited by 33 publications

(11 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are three, commonly known, types of LKAS [6]: Warning, Intervention and Control based systems. Warning based systems, do not directly alter the vehicle trajectory and require that the driver acts on the warning to have any effect.…”

Section: A Lane Keeping Assistance System (Lkas)mentioning

confidence: 99%

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures

Farah

Bhusari

Gent

et al. 2021

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

Lower levels of automation are designed to work in specific conditions referred to as the Operational Design Domain (ODD). Beyond these conditions, the human driver is expected to take control. A mismatch between a driver's understanding and expectations of the automated vehicle capabilities and its actual capabilities as prescribed in the Original Equipment Manufacturers (OEMs) manual, could affect their safety and trust in automation. The main aim of this study is to develop a method for assessing the ODD of lane keeping system equipped vehicles. The analysis method is composed of an objective driving risk measure based on the Probabilistic Driving Risk Field (PDRF), and a subjective risk measure based on driver behavior, trust and situation awareness. We demonstrate the method applicability using the Automated Lane Keeping system of the Tesla Model S. A field test was conducted with 19 participants on public roads in the Netherlands including situations within and outside the defined ODD by the OEM. Across all test situations, a mismatch was observed between the ODD specified by the OEM and by the driver. Situations outside the ODD (i.e. no-lane markings and on/off-ramp) were often regarded as within the ODD by the participants. Situations inside the ODD (i.e. tunnel and curve) were mostly correctly classified by the participants. This analysis method has the potential to aid OEMs and road operators in defining more clearly the ODD while taking into account the driver's safety and awareness of the system capabilities.

show abstract

Section: A Lane Keeping Assistance System (Lkas)mentioning

confidence: 99%

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures

Farah

Bhusari

Gent

et al. 2021

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Camera calibration is one of the most useful methods for estimating the intrinsic and extrinsic parameters of a camera [5][6][7][8][9][10][11]. Camera calibration can improve camera performance by overcoming manufacturing tolerance limitations.…”

Section: Introductionmentioning

confidence: 99%

A Hough-Space-Based Automatic Online Calibration Method for a Side-Rear-View Monitoring System

Lee

2020

Sensors

View full text Add to dashboard Cite

We propose an automatic camera calibration method for a side-rear-view monitoring system in natural driving environments. The proposed method assumes that the camera is always located near the surface of the vehicle so that it always shoots a part of the vehicle. This method utilizes photographed vehicle information because the captured vehicle always appears stationary in the image, regardless of the surrounding environment. The proposed algorithm detects the vehicle from the image and computes the similarity score between the detected vehicle and the previously stored vehicle model. Conventional online calibration methods use additional equipment or operate only in specific driving environments. On the contrary, the proposed method is advantageous because it can automatically calibrate camera-based monitoring systems in any driving environment without using additional equipment. The calibration range of the automatic calibration method was verified through simulations and evaluated both quantitatively and qualitatively through actual driving experiments.

show abstract

“…For each stage, a short description of its working principle, as well as its advantages and shortcomings, were introduced. Their paper could help in designing new systems that overcome and improve the shortcomings of current architectures [16]. Chouki Sentouh et al presented a shared control concept for LKA systems of intelligent vehicles.…”

Section: Introductionmentioning

confidence: 99%

Superhighway Virtual Track System Based on Intelligent Road Buttons

Pei

Kang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

To improve the safety of superhighways, a virtual track system for superhighways based on intelligent road buttons is studied by means of a structural analysis and mathematical model. The system consists of a road subsystem, onboard subsystem and service center subsystem. When a vehicle equipped with an onboard subsystem nears the road buttons, they activate the virtual track system, and the reader reads location coordinates and road alignment information at that point from the label buttons. At the same time, the data processing module begins to function. First, the module reads the linear parameters and processes them to obtain the angle between the road tangent and vehicle body. Then, the module reads the angle of the front wheels, the vehicle speed and the distance between the adjacent two label buttons. Finally, the module obtains the rotational speed of the steering wheel while the vehicle is driving between two label buttons by using the computational model and sends the control parameters to the steering motor. The research results show that when the design speed of the superhighway is 140 km/h, 160 km/h and 180 km/h and the distances between the road buttons are less than 1.33 m, 1.50 m and 1.69 m, respectively, the distance between the centerline of the road and the vehicle can be restricted to less than 50 cm. Therefore, the virtual track system based on intelligent road buttons can restrict vehicles to travel in the virtual track and ensure the safety of superhighways.

show abstract

Design of lane keeping assist system for autonomous vehicles

Cited by 33 publications

References 42 publications

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures

An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures

A Hough-Space-Based Automatic Online Calibration Method for a Side-Rear-View Monitoring System

Superhighway Virtual Track System Based on Intelligent Road Buttons

Contact Info

Product

Resources

About