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Recent reports have indicated that driver fatigue is one of the main causes in vehicle accidents leading to traffic fatalities and severe injuries. Therefore, developing fatigue driving monitoring system is of outmost importance to avoid fatigue-related accidents. Electroencephalogram (EEG)-based continuous monitoring system is one of the effective ways to predict both psychological and physiological...
This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using...
Traffic sign recognition (TSR) represents an important feature of advanced driver assistance systems, contributing to the safety of the drivers, pedestrians and vehicles as well. Developing TSR systems requires the use of computer vision techniques, which could be considered fundamental in the field of pattern recognition in general. Despite all the previous works and research that has been achieved,...
Pedestrian detection is one of the most challenging and vital tasks of driver assistance systems (DAS). Among several algorithms developed for human detection, histogram of oriented gradients (HOG) followed by support vector machine (SVM) has shown the most promising results. This paper presents a hardware accelerator for real-time pedestrian detection at different scales to fulfill the real-time...
Electroencephalogram (EEG) is a widely used experimental tool in psychological research. In this study, we used EEG to research the driving safety by measuring the dynamic changes of drivers' emotions in a long tunnel. Through the study whether there was a tunnel, and whether there was a large amount of traffic flow in the tunnel, we found a long tunnel only makes a slight negative effect on driver's...
In order to accurately simulate vehicles' running states of lane changing and more effectively reflect its characteristics, based on the driving experience, this paper introduced three changing rules and their corresponding lane changing benefits and safety factors, and summarized the lateral and longitudinal motion of vehicles as the interaction result between lane changing benefits and safety factors...
In the world is about one billion of disabled people. About one third of these people are people with mobility or movements impairments. For most part of people, high precision prosthetic devices with neural control and feedback are very expensive. Almost all average price prosthetic devices have visual feedback system, which loads user vision. To solve these two problems decided develop prosthetic...
In this paper, an Artificial Neural Network (ANN) is employed for the estimation of LaTeral Misalignment (LTM) as well as compensation of its effect on Dynamic Wireless Power Transfer (DWPT) systems for Electric Vehicles (EVs) charging. In a DWPT system, energy efficiency and energy transfer capability are significantly affected by the degree of LTM. Therefore, the real-time estimation of LTM, followed...
In order to develop the bottom driver software more rapidly and efficiently which are used in automotive battery management system and to get rid of high dependence on the hardware and low reusability of the drivers in automobile controller, this paper puts forward a kind of driver design method based on automotive open system architecture (AUTOSAR). Simulation modeling module has been made with the...
In this study, a safe driving system is developed to reduce traffic accidents that cause social losses considerably. The ability of the driver is reduced to perceive environmental incidents during high speed driving. Speeding warnings over mobile applications which creating with comparing the speed of the vehicle with the speed limits of the roads and calculating the maximum speed before sharp bends...
Vehicular ad hoc networks (VANETs) have emerged as a paradigm for sharing information among vehicles and infrastructure that has the potential to provide road safety and travellers comfort. The bandwidth limitation is one of the main challenges of this technology, however, the growing perspectives of applications demand more and more service channels. In this work we propose two novel channel hopping...
Driver-in-the-loop and different human-machine goal consistency should be considered when designing driver-AFS interactive steering control system. In this paper, a novel design approach, namely dynamic game theory is used for the modelling of shared steering control between driver and AFS. Linear Quadratic dynamic optimization approach is used to derive the non-cooperative Nash, non-cooperative Stackelberg,...
The main interest of this study is to find a system that could detect typical signs of drowsiness progression and warn a car driver before driving behavior becomes dangerous. An early detection of impaired conditions due to drowsiness would probably lead to a reduction in traffic accidents. In this matter, a lot of researches have already been done but although many detection devices are available...
In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the...
Real-time simulation tools are commonly used for designing and testing of automotive embedded control systems. In addition, the Hardware-In-the-Loop (HIL) technique enables previous verification and validation of control strategy avoiding an expensive and time-consuming field test. For this reason, this paper shows a HIL platform for designing and testing of Electrical Power Assisted Steering Systems...
This paper aims to present an improved traffic risk predictor, applying a fuzzy version of Harmonic Systems. The topic has many contributions from many diverse fields. From the practical perspective, there are a few tools that may be successfully used for a driver, pedestrian and cyclist risk prediction at the same time, with no extra devices. The proposed predictor can be used in any mobile device,...
The main causes of highways mortality are fatigue and sleepiness while driving. In this paper, we propose a method to detect the transition between wakefulness and sleepiness states based on driver's brain activity recorded through Electroencephalography (EEG). Our new method uses the Phase Locking Value (PLV)to extract data that are directly related and correlated to the sleepiness. PLV measures...
This paper presents the design and implementation of a current controlled Rotor Flux Oriented PMSM for automotive steer-by-wire applications. The development of a realistic torque feedback reference is carried out by monitoring the steering torque while driving a commercial vehicle. The paper shall discuss the torque dynamics of the PMSM drive with respect to position demands replicating a driver...
This paper investigates visual attention control using the presentation of directional flow stimulus to peripheral vision. Peripheral vision is known to have a superior motion-perception capability. Since central vision is usually used for a primary visual task, it would be quite useful if we could control one's attention by providing assistive information through peripheral motion cues without interfering...
Emerging technologies in the field of automatization meanwhile enable partially and highly automated vehicles in the aviation and automotive domains, where the human operators are assisted or (partially/temporarily) replaced in their tasks by advanced automation systems. Nevertheless due to technological limitations and ethical reasons, full autonomous vehicles in both domains might not be realizable...
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