Advanced Vehicle Control Systems (AVCS) is a key technology for Intelligent Transportation System (ITS) and Intelligent Vehicle Control System (IVCS). AVCS involves automatic steering, acceleration and braking control of fully autonomous vehicles. The unmanned control of the steering wheel is one of the most important challenges faced by the researchers. This paper proposes control architecture...

In recent years, vehicle theft has become an increasing problem worldwide. A staggering number of cars are stolen every year, and up to half of these are never recovered. Thus, vehicle ownership identification is an important security issue. In this paper, based on the triple-trapdoor chameleon hash function and the concept of the hash-sign-switch paradigm, we propose the vehicle ownership iden...

The number of intersection accidents around the world has reached a plateau and has not decreased in spite of the innovation and improvement in road and vehicle safety technologies. Therefore, intersection collision warning and avoidance systems that are able to warn potential drivers of an impending collision are required. The existing systems have not utilized recent innovations in vehicular ...

This paper uses a line-following approach to study the longitudinal and lateral problems in vehicle platooning. Under this setup, we assume that inter-vehicle distance sensing is unreliable propose cooperative control strategy render platoon less vulnerable these difficulties. The proposed scheme velocity of predecessor vehicle, communicated through Vehicle-to-Vehicle technology, avoid signific...

Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible ...

This paper presents a stable on-line adaptive identification technique for the identification of finitedimensional dynamical models of dynamically positioned underwater robotic vehicles. A direct comparison of this method to a conventional, off-line, least-squares method is presented. Using experimental data obtained using the JHU Remotely Operated Vehicle, both methods are employed to develop ...

An object classification technique is proposed to solve a vehicle make and model recognition task. Edges of the back end of vehicles are extracted from images. These edges are processed into line segments which contain more local structure information than interest point based characterization can encode. Object matching is performed by comparing the sets of line segments by a Hausdorff distanc...

although there are remarkable differences in drivers’ behavior as well as vehicles characteristics, road capacity estimationmethods in developing countries are same as developed ones. so, the discrepancy between the theoretical andpractical values of capacity is inevitable. although, capacity estimation methods can be classified based on numerousparameters, in developing countries, the availabi...