Subjective Evaluation of Advanced Driver Assistance by Evaluation of Standardized Driving Maneuvers

Bernsteiner, Stefan; Lindvai-Soos, Daniel; Holl, Reinhard W.; Eichberger, Arno

doi:10.4271/2013-01-0724

Cited by 4 publications

(6 citation statements)

References 2 publications

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“…The LKA intervention timing determines under what conditions the LKA system should start to intervene in the vehicle’s pose. The most common LKA intervention strategies are those based on the Distance to Lane Crossing (DLC) threshold [ 25 ]. Subsequently, strategies based on the Time to Lane Crossing (TLC) threshold were proposed to adapt to the different lane-relative velocities [ 26 , 27 , 28 ].…”

Section: Methodsmentioning

confidence: 99%

A Method to Develop the Driver-Adaptive Lane-Keeping Assistance System Based on Real Driver Preferences

Chen,

Lan

et al. 2024

Sensors

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To satisfy the preference of each driver, the development of a Lane-Keeping Assistance (LKA) system that can adapt to individual drivers has become a research hotspot in recent years. However, existing studies have mostly relied on the assumption that the LKA characteristic aligned with the driver’s preference is consistent with this driver’s naturalistic driving characteristic. Nevertheless, this assumption may not always hold true, causing limitations to the effectiveness of this method. This paper proposes a novel method for a Driver-Adaptive Lane-Keeping Assistance (DALKA) system based on drivers’ real preferences. First, metrics are extracted from collected naturalistic driving data using action point theory to describe drivers’ naturalistic driving characteristics. Then, the subjective and objective evaluation method is introduced to obtain the real preference of each test driver for the LKA system. Finally, machine learning methods are employed to train a model that relates naturalistic driving characteristics to the drivers’ real preferences, and the model-predicted preferences are integrated into the DALKA system. The developed DALKA system is then subjectively evaluated by the drivers. The results show that our DALKA system, developed using this method, can enhance or maintain the subjective evaluations of the LKA system for most drivers.

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Section: Methodsmentioning

confidence: 99%

A Method to Develop the Driver-Adaptive Lane-Keeping Assistance System Based on Real Driver Preferences

Chen,

Lan

et al. 2024

Sensors

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“…The experimental set-up was developed in previous projects and it has proven to have suitable performance for ADAS/AD testing with respect to the robustness and usability while testing, the accuracy of the reference measurement system, and the time synchronicity between reference measurement and perception sensor output [35]. The data derived in several thousands of on-road testing were used for the calibration of different phenomenological perception sensor models [36][37][38].…”

Section: Tu Graz Vehicles and Sensorsmentioning

confidence: 99%

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Tihanyi

Tettamanti

Csonthó

et al. 2021

Sensors

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A spectacular measurement campaign was carried out on a real-world motorway stretch of Hungary with the participation of international industrial and academic partners. The measurement resulted in vehicle based and infrastructure based sensor data that will be extremely useful for future automotive R&D activities due to the available ground truth for static and dynamic content. The aim of the measurement campaign was twofold. On the one hand, road geometry was mapped with high precision in order to build Ultra High Definition (UHD) map of the test road. On the other hand, the vehicles—equipped with differential Global Navigation Satellite Systems (GNSS) for ground truth localization—carried out special test scenarios while collecting detailed data using different sensors. All of the test runs were recorded by both vehicles and infrastructure. The paper also showcases application examples to demonstrate the viability of the collected data having access to the ground truth labeling. This data set may support a large variety of solutions, for the test and validation of different kinds of approaches and techniques. As a complementary task, the available 5G network was monitored and tested under different radio conditions to investigate the latency results for different measurement scenarios. A part of the measured data has been shared openly, such that interested automotive and academic parties may use it for their own purposes.

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“…and 'X' and 'U' are as defined in equation ( 23), and 'Q' is a (11 Â 11) matrix the elements of which are all zero, except (1,1), (4,4), (5,5), (6,6) elements which are 'w 1 ' to 'w 4 ', respectively. Also, the term (X d ) refers to the desired values of the state variables.…”

Section: Controller Designmentioning

confidence: 99%

“…Bernsteiner et al 6 developed an experimental validation plan for adaptive cruise control, lane departure warning, and lane keeping assistance systems. Standardized driving manoeuvres with two or more vehicles equipped with synchronized measurement were performed by professional test drivers.…”

Section: Introductionmentioning

confidence: 99%

Integrating lane-keeping system with direct yaw moment control tasks in a novel driver assistance system

Goodarzi

Ghajar

2014

Proceedings of the Institution of Mechanical Engineers, Part K:

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In this paper, a novel lane-keeping system is introduced controlling lateral and angular position of the vehicle in the lane while preventing it from instability in critical situations. When the vehicle deviates from its ideal path because of driver drowsiness or external causes such as cross wind, the system controls the steering and brake systems as actuators and directs the vehicle to the ideal path. Optimal control theory has been used in controller design stage. Furthermore, since the driver has not a monotonic behaviour, a method for adapting the controller with variations of driver parameters has been proposed. Simulation results show the superiority of the performance of this system in comparison with usual systems.

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Subjective Evaluation of Advanced Driver Assistance by Evaluation of Standardized Driving Maneuvers

Cited by 4 publications

References 2 publications

A Method to Develop the Driver-Adaptive Lane-Keeping Assistance System Based on Real Driver Preferences

A Method to Develop the Driver-Adaptive Lane-Keeping Assistance System Based on Real Driver Preferences

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Integrating lane-keeping system with direct yaw moment control tasks in a novel driver assistance system

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