scholarly journals Driver perceptions of advanced driver assistance systems: A case study

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 1122
Author(s):  
Siti Fatimah Abdul Razak ◽  
Sumendra Yogarayan ◽  
Afizan Azman ◽  
Mohd Fikri Azli Abdullah ◽  
Anang Hudaya Muhamad Amin ◽  
...  
Keyword(s):  
Technology Use ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems ◽  
Convenience Sampling ◽  
Safety Applications

Background: Automobile manufacturers need to have an insight and understand how consumers, specifically drivers, respond to the advanced driver assistance systems (ADAS) technology in their manufactured vehicles. This study reveals drivers’ perceptions of Malaysia’s advanced driver assistance systems, which is currently lacking in the literature. So far, other studies have focused on countries that are unlike Malaysia’s multi-culture environment. Methods: A survey was designed and distributed using convenience sampling to obtain responses from licensed drivers. Questions included demographic and driving questions, the perceptions of benefits and obstacles relevant to ADAS use, vehicle decision-making, and technology use. Data were collected from 818 respondents who were licensed drivers in Malaysia. Results were then analysed using statistical approaches. Results: The findings indicated that 76.8% of drivers have a positive attitude towards ADAS technology, particularly safety applications when they are available. Regardless of the accuracy of these systems, acceptance of the technology may shift upon viewing or hearing messages of possible problems with ADAS. Conclusions: It can be concluded that the safety advantages of ADAS technology are less valued by drivers who do not have experience of road traffic accidents. Furthermore, acceptance of the technology could be undermined by assuming that the safety applications could be compromised.

scholarly journals Probabilistic Approach for Validation of Advanced Driver Assistance Systems

2005 ◽  
Vol 1910 (1) ◽  
pp. 20-28
Author(s):  
O. J. Gietelink ◽  
B. De Schutter ◽  
M. Verhaegen
Keyword(s):  
Randomized Algorithms ◽  
Methodological Approach ◽  
Probabilistic Approach ◽  
Performance Criteria ◽  
Cruise Control ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems

This paper presents a methodological approach for validation of advanced driver assistance systems. The methodology relies on the use of randomized algorithms that are more efficient than conventional validation that uses simulations and field tests, especially with increasing complexity of the system. The methodology first specifies the perturbation space and performance criteria. Then, a minimum number of samples and a relevant sampling space are selected. Next, an iterative randomized simulation is executed; then the simulation model is validated with the use of hardware tests to increase the reliability of the estimated performance. The proof of concept is illustrated with some examples of a case study involving an adaptive cruise control system. The case study points out some characteristic properties of randomized algorithms with respect to the necessary sample complexity and sensitivity to model uncertainty. Solutions for these issues are proposed as are corresponding recommendations for research.

scholarly journals Implementing a Gaze Tracking Algorithm for Improving Advanced Driver Assistance Systems

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1480
Author(s):  
Agapito Ledezma ◽  
Víctor Zamora ◽  
Óscar Sipele ◽  
M. Paz Sesmero ◽  
Araceli Sanchis
Keyword(s):  
Traffic Accidents ◽  
Tracking System ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Gaze Tracking ◽  
Advanced Driver Assistance Systems ◽  
The Road ◽  
Assistance Systems ◽  
On The Road ◽  
Driver Distractions

Car accidents are one of the top ten causes of death and are produced mainly by driver distractions. ADAS (Advanced Driver Assistance Systems) can warn the driver of dangerous scenarios, improving road safety, and reducing the number of traffic accidents. However, having a system that is continuously sounding alarms can be overwhelming or confusing or both, and can be counterproductive. Using the driver’s attention to build an efficient ADAS is the main contribution of this work. To obtain this “attention value” the use of a Gaze tracking is proposed. Driver’s gaze direction is a crucial factor in understanding fatal distractions, as well as discerning when it is necessary to warn the driver about risks on the road. In this paper, a real-time gaze tracking system is proposed as part of the development of an ADAS that obtains and communicates the driver’s gaze information. The developed ADAS uses gaze information to determine if the drivers are looking to the road with their full attention. This work gives a step ahead in the ADAS based on the driver, building an ADAS that warns the driver only in case of distraction. The gaze tracking system was implemented as a model-based system using a Kinect v2.0 sensor and was adjusted on a set-up environment and tested on a suitable-features driving simulation environment. The average obtained results are promising, having hit ratios between 96.37% and 81.84%.

Effects of a Preventive Warning Light System for Near-Miss Incidents

2018 ◽  
Vol 10 (1) ◽  
pp. 65-79
Author(s):  
Akira Yoshizawa ◽  
Hirotoshi Iwasaki
Keyword(s):  
Traffic Accidents ◽  
Near Miss ◽  
Warning Systems ◽  
Seat Belts ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Advanced Driver Assistance Systems ◽  
Warning Light ◽  
Light System ◽  
Assistance Systems

This article describes how the number of fatal traffic accidents has been decreasing in Japan because of recent safety technologies of vehicles, such as stiff cabins, antilock braking systems, and seat belts. Automated vehicles and advanced driver assistance systems can advance the trend. However, many traffic accidents occur on narrow streets in residential sections, where it is difficult for even advanced vehicles to drive safely. In this research, this paper utilizes a near-miss incident database to analyze driver gazing. The result showed that preventive warning systems are useful for avoiding traffic accidents.

A Concept of Camera Test-Bench for Testing Camera Based Advanced Driver Assistance Systems

2013 ◽  
Author(s):  
Yin Tan ◽  
Bassem Hassan
Keyword(s):  
Virtual Environment ◽  
Automobile Industry ◽  
Traffic Accidents ◽  
Test Bench ◽  
Low Cost ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Camera System ◽  
Advanced Driver Assistance Systems ◽  
Assistance Systems

About 1.5 million traffic accidents occur every year in European traffic; most of them are results of careless driving behavior, for example unintentional lane departure. Studies show that these accidents could often be avoided, if the driver would react only half a second earlier. Therefore, advanced driver assistance systems (ADAS) and especially the camera based ADAS increasingly gain importance in the automobile industry because of their diverse functions, for example the lane keeping assistance. Their development must contain an excessive and accurate testing process, in order to contribute to a reliable result in the common use. The importance of the testing methods and environments is growing due to several reasons, for example the need for more flexibility during testing and cost-reduction at the same time. Those requirements can be fully fulfilled by the use of virtual environments. To simplify the testing process, the virtual environment does not need to be as realistic as possible. It only has to provide necessary features for the camera system. Due to different detection algorithms for diverse assistance functions, the virtual environment needs determined characteristics, which are crucial for further precise analyses. This paper presents a concept to create a camera test-bench for testing of camera based ADAS, by adapting an existing virtual environment for the camera system, identifying and enhancing the important features for the testing detection function while enable a flexible and low-cost testing environment. The testing ADAS shall record the virtual driving scenes and deliver the same results as in real environments. First, possible existing approaches of testing processes shall be presented. In this paper, the concept is to shown by the example of road detection. The focus lies on the lane markings and the ground. While the separation lines between diverse objects are clearly visible in the virtual environment, the real ones often differ due to road condition or lighting intensity. The differences must be considered and corrected by creating a shader which adjusts the scenes, before the virtual representations can be applied for testing camera based ADAS. Furthermore, for testing other functions, the shader shall be expanded and contain more relevant feature parameters for different test functions. All in all, as much as possible camera based ADAS shall be tested with a virtual environment and the tests shall help accelerating the development time and improving the quality of camera based ADAS.

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