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The tyre pressure is not adequately maintained by the majority of automobile drivers, even though they drop more than one pounds per square inch (PSI) of air pressure a month. The National Highway Traffic Safety Administration (NHTSA) statistics show that low-tyre pressure-related crashes cause 660 fatalities and 33,000 injuries every year. At present, the tyre pressure is monitor from differences...
An electroencephalogram (EEG) — near-infrared spectroscopy (NIRS) ear-module SoC is proposed for the non-intrusive wearable drowsiness monitoring system. The proposed SoC is integrated into earpiece-type system with ear hook and it can show the driver drowsiness states with multimodal measurement. It has 3 key building blocks; 1) multi-dimensional compensation transimpedance amplifier with ambient...
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation...
Travelling is one of the daily routine activities for most people. In the recent studies that were identified, we found many uses for the smartphone in smart diver application on the environment. However, the energy is the key challenge for our planet. We also found that very few high-quality studies exist to help us understand how best to use this technology. Taking account that users are using smartphones...
In this work, we study exhaust gas concentration patterns in Porto, Portugal, and explore techniques to estimate the level of NO2 concentrations using taxi service and meteorological data as sensors. The exploratory analysis revealed daily and seasonal patterns of exhaust gases, with higher concentrations in the morning and on colder months. Based on nine months of data, we are able to estimate the...
Cloud computing is gaining more and more popularity due to the wide use of the Internet. It can now be integrated into vehicle applications to enhance mobility, preventing accidents, improve safety, and improve driving comfort. In this paper, we propose a secure architecture of inter-vehicle communication which is obtained from a cloud services, including architecture level, communication level and...
In distributed systems, the lack of synchronism among the devices may result in invalid information and hence incorrect decisions. This paper presents DOCS4V, a distributed system for traffic monitoring that minimises the impact of lack of synchronism by assigning a lifetime to the generated information, which is managed according to the local clock of a device. On-board and Roadside Units share data...
Driver distraction is a significant cause of accidents leading to injuries and fatalities on the roadway. Driving is a complex task and demands continuous visual and cognitive attention on the primary task of driving. Drivers are at risk of responding more slowly or less suitable to intricate and dynamically changing situations that entail their complete attention.
Connected vehicles extend the capability of information collection, and thus open more opportunities for innovative advanced driver assistance systems (ADAS). In this paper, we propose a Lane Speed Monitoring (LSM) application based on vehicle-to-vehicle (V2V) communication. This application takes advantage of Basic Safety Messages (BSM) transmitted from equipped vehicles via dedicated short range...
Many vision-based systems have been proposed for intersection monitoring, but few of them use wide angle cameras. In this paper, we present a fisheye-stereo monitoring system that will be installed especially in rural areas. Our goal is to estimate the extrinsic calibration decoupled into a rotation followed by a translation. In the context of rural intersections, methods that purely rely on the geometry...
This paper suggests a concept for motivating driver cooperation. The proposed interaction concept incorporates gamification to motivate cooperation in a lane-change scenario in a highly automated environment. Prior research has shown that without taking individual factors such as time pressure or social status into account, cooperation-acceptance rates were as high as 88% for the left-lane and 100%...
The driver's motion while driving is one of the important information that can measure the current state of the driver that is driver's attention, health, etc. In general, the driver does various additional activities in addition to driving operation. For example, operations such as audio or sun visor control, and even mobile phone in a moving vehicle can be the cause of dangerous situation of driver...
In this paper, we will introduce the necessity of real-time safety monitoring system for high-speed railway vehicle and propose a new type of safety monitoring system using a low-power wireless connection. To verify the proposed safety monitoring system is feasible, we measure the packet error rate on the moving train and show the analyzed results.
Inspection of the structural health of the bridge column is very important task but near-water surface region is dangerous for structural health monitoring robots due to water tides and spray. The unmanned surface vehicle with vertical thrusting function was developed to attach bridge column regardless of the surface status or material for close inspection and minimizing turbulence or external flow...
In this paper an FPGA-based video HiL (Hardwarein-the-Loop) solution is presented. It was designed to evaluate an of-the-shelf ADAS (Advanced Driver Assistance System) smart camera consisting of a video sensor (so-called forward looking camera (FLC)) and video processing unit. It allows to directly capture and store on a PC the video stream from the sensor. Then, the pre-recorded sequences can be...
Automated driving vehicles of the future will most likely include multiple modes and levels of operation and thus include various transitions of control (ToC) between human and machine. Traditional activation devices (e.g., knobs, switches, buttons, and touchscreens) may be confused by operators among other system setting manipulators and also susceptible to inappropriate usage. Non-intrusive eye-tracking...
With the rapid development of sensor technology on vehicles, more and more vehicles are checked from artificial detection to auto monitoring. A great number of real-time data acquired from sensors provides important foundation for PHM application on vehicles. Aiming at the special mining vehicle, it proposes the solution for real-time monitoring, fault diagnosis and health management based on the...
In this paper, we report an in-vehicle wireless sensor network platform for daily health monitoring. The platform is capable of monitoring health risk factors due to long time sitting and driving. The system contains three sensor nodes for monitoring sitting pressure distribution, ECG, and GSR, respectively, which are good indicators of driving-induced chronic conditions. This platform is also compatible...
This paper presents a software platform for monitoring vehicles' CO2 emission in real time. By this platform, drivers can find the relationships between the vehicle CO2 emission amounts and their personal driving habits. Therefore, drivers can adjust their driving habits in real-time when viewing the real-time CO2 emission during the driving process. Besides, the drivers can check their speeds traces...
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