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The application of new technologies in the road transport system is seen as one of the key challenges to ensure safe and efficient driving through the increasingly overloaded road infrastructure. One of the most recent developments in this respect is the implementation of co-operative traffic management systems and the establishment of a bidirectional wireless infrastructure to vehicle (12 V) communication...
Safety is evergreen vital criteria for road traffic. We propose an infrastructureless solution based on contexts to increase safety of vehicle. Contexts characterize and track the moving environment of a vehicle. Here, environment means the vehiclepsilas own status like geographical position, break-controlpsilas functional status, driverpsilas status etc., and the status of neighboring vehicles. Contexts...
In this paper, we propose a new framework to discriminate the initial maneuver of lane-crossing event from driver-correction event, which is the primary reason for false warnings of the lane departure prediction systems. The proposed algorithm validates the beginning episode of the trajectory of driving signals whether it will cause a lane crossing event or not, by employing driver behavior models...
Traffic congestion has been plaguing motorists for years, and it progressively continues to get worse as the population continues to increase, resulting in an increase in the number of vehicles on the road. There are many factors that contribute to traffic congestion, however; there is one that plays a major role in giving rise to a phenomenon called ldquotraffic wavesrdquo, and that is driver behavior...
Over the past decades, the use of electronic systems in automotive vehicles has grown exponentially. Automotive systems engineering requires a sustainable integration of new methods, development processes, and tools that are specifically adapted to the automotive domain. This paper describes two approaches to the development of an automotive electronic system via a case study involving the modelling...
As the information technology revolution brings more and more data into the vehicles, all of it competing for the driver's attention, the development of automated assistance for driver information processing becomes increasingly important. Therefore, drivers' workload is very essential factor for safety driving in Telematics. In this paper, we proposed driving event simulator considering drivers'...
Many cars now have on-board cameras, and many kinds of driver support systems that use image recognition are being developed. We developed a car navigation system with image recognition that enhances drivers' safety, convenience, and entertainment.
The objective of this research is to develop an advanced driver assistance system with lane departure warning and forward collision warning functions. The main input of this system is a CMOS camera, which is used to acquire roadway image in front of vehicle. In order to extract lane markings and vehicles from roadway image, the image processing methods such as coordinate systems transformation, object...
Variable message signs (VMS) plays an important role in route guidance of drivers and release of traffic congestion. Response to VMS of drivers is acquired in stated preference (SP) investigation. Traffic demand is estimated and analyzed by Gravity and route choice models. Effects of VMS on route choice and traffic delay are simulated through VISSIM software in the case study of Beijing.
Vehicle automation is an important research topic of advanced vehicle systems (AVS). Taiwan iTS-1 is the first smart car with autonomous driving in Taiwan. In this paper, an embedded driving-assistance system is presented. The definition of hierarchical-control structure is necessary in the system to deal with sensorial inputs and environmental and procedural knowledge to manage vehicle actuators...
Nowadays, research and development in vehicle safety system has been intensively conducted. However, research focusing on detection unsafe signal from driving behavior is much less defined and explored. Abnormal driving behavior is a result of instability of internal state of the driver that could lead to uncomfortable and dangerous situation in driving task. In this study we described a method for...
In this paper, a real-time vision-based safety assist system is proposed to provide the driver an assistance system improving the security on driving and after parking. The estimated distances and a friendly intuitive graph are shown on the screen for drivers to examine the distance between other vehicles. The driving status can also be recorded in H.264. Furthermore, the users' mobile phones can...
Embedded systems technologies and advances in micro electronics have accelerated the evolution of driver assistance systems towards more driving safety, comfort, entertainment and wayfinding. With the technological and quality progress, however, also goes the growing of interaction complexity, information overload, and intricate interface designs. Assessing interaction designs for in-car assistance...
We present an adaptive brake warning system in order to help a driver keep a safe distance from the cars in front to avoid rear-end collisions. The safe distance continuously varies according to the carpsilas velocity, driving events, and road conditions. Three sensors, an ECU reader, a camera, and a laser range finder, are used to collect the vehicular velocity, the density of cars on the road and...
This paper describes a novel technique to analyze newly available Vehicle Traveling Data Recorder (VTDR) data from Passenger Transport Company. To help us be more conducive to study, we preprocessed the VTDR data firstly. 1) Algorithm that detects highway range in the VTDR data is proposed. 2) We transformed VTDR data from their original Time based Speed Series (TSS) to Location based Speed Series...
This paper presents a real-time vision system for assisting driver during nighttime driving. The proposed system provides the following features: 1) effectively detection and tracking of oncoming and preceding vehicles based on image segmentation and pattern analysis techniques. 2) Robust and adaptive vehicle detection under various illuminated conditions at nighttime urban environments benefited...
Novice driver training has become an important issue in China with the quick increase of vehicle population. However, the training school mainly provides only operation skill training, which seems insufficient for novice driver training. To help novice drivers develop higher-order perceptual and cognitive skills safely and quickly, a prototype model of driver training platform is proposed. The system...
Advance Driver Assistance Systems (ADASs) are being developed with many goals: communications, road mark detection, road sign recognition or pedestrian detection. The work presented here is a system that analyses the vehicle speed and trajectory through a GPS and assesses its security through the recognition of the road signs presented in the streets. In case of conflict, it warns the driver through...
This paper describes autonomous vehicle and driver assistance research beginning with the 1997 National Automated Highway System Consortium Demonstration. As a microcosm of the community at large we discuss how Carnegie Mellon autonomous vehicle research has progressed in the last decade. Since the demonstration we have formed two companies: AssistWare became a leading developer of lane departure...
At present the general shape based detection of traffic signs is an unsolved problem. Approaches that exist either concentrate on a particular shape (e.g. Hough transform for circles) or suffer from a high computational demand (see e.g. [1]). This paper presents a time efficient approach that can be used to detect traffic signs with a shape that can be described as a regular polygon or a circle. The...
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