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Accurate real-time vehicle location technology in the fast-moving condition is one of the core content of the research field of vehicle active safety and automatic driving. The traditional technologies, like vehicular device-based distance sensors, satellite positioning, roadside beacon, the electronic map matching, are difficult to achieve precise positioning of the vehicle at high speed. In this...
We propose a novel method of ground-radio-based precise positioning that utilizes variation of wireless reception against vehicle travel as fingerprints of road segments. It is considered particularly suitable for environments where wireless reception is dominated by multipath transmission that gives unique feature points to the fingerprint, such as urban and mountainous areas. Experimental results...
This paper describes a high-accuracy localization algorithm that improves the safety of roadway workers. The proposed system consists of a wireless sensor network (WSN) of smart cones that includes a centralized master node and several sensor nodes. The master cone maps the topology of all sensor cones placed along the periphery of a work zone, with the goal of providing decimeter location accuracy...
Nowadays, there are more than 150 sensors inside a car which are connected via wires to the Electronic Control Units (ECUs). The increase in the number of sensors put into a car adds significant weight to the car and makes the wiring system more complex. Intra-car Wireless Sensor Network (WSN) is therefore a promising solution for automobile industry in the near future as it eliminates the amount...
With the rapid development of economy, private cars grow at an exponential rate and cities become more and more crowded. The speed of expanding urban area and increased urban road significantly lags behind the economic development. So the introduction of advanced Intelligent Transportation Systems (ITS) may be a well solution, which can solve the urban transport problems fundamentally. As the emergence...
Based on the experience from two predecessor projects, a novel architecture for the detection of vulnerable road users (VRU) is developed. It combines communication and localization, following the function principle of a secondary surveillance radar. Challenges are in the accuracy, the scalability, the bandwidth availability and the limited cost and complexity of the devices. This paper describes...
With the advances in technology, low cost and low footprint sensors are being used more and more commonly. Especially for military applications wireless sensor networks (WSN) have become an attractive solution as they have great use for avoiding deadly danger in combat. For military applications, classification of a target in a battlefield plays an important role. A wireless sensor node has the ability...
In sensor networks, energy and communication bandwidth are strongly constrained resources. A key technique to reduce the use of these resources is data aggregation, whereby the data collected by the nodes are combined during the routing. Aggregation is however limited to very few operators. This paper provides a new use of aggregation techniques, by showing that they can be used to extract high-level...
Target classification is one of the applications of wireless sensor networks that aims to recognize the type of mobile targets that navigate within a sensing field. This paper presents a fuzzy-based controller module using MaxMin and MinMax Distributed K-Nearest Neighbors (DKNN) algorithms for ground vehicle classification in order to achieve efficient energy usage and better classification accuracy...
We extend our work in vehicle classification. Our system is based on a low complexity wireless sensor network. The system consists of a low power microprocessor together with AMR magnetic sensors and an RF transceiver. Two AMR magnetic sensors are employed to extracts dominant low-complexity features including vehicle count, speed, length, Hill-pattern peaks, and normalized energy. These features...
With the development of intelligent transportation system (ITS), information-collection plays an increasingly important role. Research is based on Zigbee protocol for wireless sensor network technology, combined with video coding, designed a traffic data-acquisition system. Network nodes are distributed in the monitored area regularly, and responsible for collecting traffic video information, self-organizing...
Based on the experience from two predecessor projects, a novel architecture for the detection of vulnerable road users (VRU) is developed. It combines communication and localization, following the function principles of a secondary radar. Challenges are in the accuracy, the scalability, the bandwidth availability and the limited cost and complexity of the devices. This paper describes the objective...
Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observations...
Recently, with the development of Intelligent Transport System (ITS), vehicular wireless communication technology has received more and more considerable attention. Many researchers have done a lot of work for developing a new kind of wireless network to build a vehicle to vehicle (V2V) wireless transmission platform, which increases various applications on ITS. In such networks, wireless communication...
There are theoretical and empirical RSS-based algorithms proposed and many studies have been made by comparing the performance of these algorithms. However, there is a lack of theoretical basis and understanding on the orientation of vehicles without GPS. This paper presents a model for an orientation-aware location tracking manner for the detections of vehicles using wireless sensors based on IEEE...
Deploying wireless sensor networks for detecting and counting vehicles is not a new concept. One disadvantage of most simple wireless sensor for detecting vehicles is wrong interpretation of complex vehicle such as a trailer truck with multiple containers. In this paper, we propose an improvement of a simple wireless sensor network for detecting vehicles developed by Chinrungrueng et al. This system...
With the advancement of micro-electro-mechanical systems (MEMS) technologies, wireless sensor networks have opened new vistas for a wide range of application domains. These sensor nodes usually comprise small, low-power devices that integrate sensors and actuators with limited on-board processing and wireless communication capabilities. One of the most important applications is target tracking and...
This paper presents schemes to generate effective feature vectors of low dimension, and also presents a cluster-based algorithm, where sensors form clusters on-demand for the sake of running a classification task based on the produced feature vectors. The features generated through our proposed schemes are evaluated using k-nearest neighbor (k-NN) and maximum likelihood (ML) classifiers. The proposed...
Recent advances in wireless communications and micro-electro-mechanical systems have fostered the development of wireless sensor networks (WSNs) which consist of tiny, low-cost and low-power sensor nodes. Individual sensor nodes only have local views of the environment, but global views can be obtained by collaborative processing between densely deployed sensor nodes. Energy efficiency is critical...
This paper presents a developed inertial navigation multi sensor node, along with an efficient calibration technique to improve the accuracy of the measurement acquired from a set of inertial sensors and magnetic encoder. The implemented node consists of a high resolution magnetic compass sensor, a distance sensor works as magnetic encoder, an accelerometer and a gyroscope to detect the linear and...
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