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With the advances in wireless communication and mobile computing, a future infrastructureless self-organizing traffic information system, where vehicles can form a network for exchanging traffic information among themselves, will soon be realized. In an infrastructureless traffic information system, vehicles will act as mobile sensors and collect the traffic data as they travel. Smartphones are a...
Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.
To achieve a usable range measurement feature using a Vehicle-Mounted monocular camera for ADAS (Advantage Drive Assist System), a pitch angle estimation with high accuracy is required. We propose a method for estimating pitch angle with a non-occurrence of cumulative error, and the initial pitch angle can be estimated simultaneously with only a Vehicle-Mounted monocular camera. We use the Harris-corner...
In this paper, we propose an accurate and real-time positioning method for intelligent road vehicles in urban environments. The proposed method uses a robust lane marking detection algorithm, as well as an efficient shape registration algorithm between the detected lane markings and a GPS based road shape prior, to improve the robustness and accuracy of global localization of a road vehicle. We exploit...
This paper introduces a distributed and decentralised method to solve the cooperative localisation problem utilising the factor graph framework. This method enables vehicles to create compact packets of their own sensor information between their involvement in intervehicle measurements. The packets are limited in size, with this size dependent on the size of the state space alone. The number of packets...
Knowing the environmental changes are essential in vision based driving assistance system. Detection these changes prior to algorithm selection will help to handle different situation separately and in turn enhance the performance of ADAS (advance driver assistance system). In particular, this paper focuses on detecting tunnel using images captured from monocular camera mounted on the ego vehicle...
High accuracy pedestrian detection plays an important role in all intelligent vehicles. This paper describes a system for detecting the obstacles in front of the vehicle and classifying them in pedestrians and non-pedestrians. It acquires the traffic scenes using a low-cost pair of gray intensities stereo cameras. A SORT-SGM stereo-reconstruction technique is used in order to obtain high density and...
In existing trust establishment researches, the decision making accuracy and decision delay of received event message are both the outstanding problems in VANETs. Especially on the decision delay, the delay of alert event might lead to traffic accident and injury. In this paper, we propose an adaptive decision making model which can make decision quickly by the effective and quick assistance of the...
The real-time traffic information estimation is an important issue for Intelligent Transportation System (ITS). Compared to traditional methods, the traffic information estimations from cellular network data are readily available, more cost-effective, and easier to deploy and maintain. In this paper, a vehicle speed estimation method is proposed to analyze the voice call signals (i.e., Call Arrival...
Innovative driving assisting systems, such as Green Light Optimal Speed Advisory (GLOSA), efficient start-stop control or traffic light warning systems can contribute to reducing CO2 emissions and traffic accidents. These systems necessitate reliable estimations on future traffic light signals on a large scale. However, due to dynamic adjustment of traffic lights' signal phasing and timing, the provision...
Cellular Network Localization (CNL) is a vital source of information to a wide range of emerging applications, to name a few, Location based services, traffic analysis and sensing, vehicles' anti-theft systems. Developing, validating, and testing of such applications require massive data sets of CNL - a prerequisite that is impractical to be collected. Furthermore, it can not be simulated using hard...
In this paper, an algorithm is proposed to provide position data of vehicles with high accuracy and low cost. It is to use same number of satellites or same satellites number, then calculates absolute coordination of vehicles using distance between vehicles. Finally it can enhance accuracy of relative positioning in vehicles.
The suitability of the available navigational aids for underwater gliders for year round use in waters which experience seasonal sea ice is evaluated and a path towards an operational system on the Labrador Shelf is presented. The extent of ice coverage is generally found to be limited to the shelf areas and with a duration of up to 20 weeks. For a desired navigational accuracy of 100 meters over...
A technique was developed by which seafloor images gathered by a hovering AUV can be mosaicked based on the vehicle position at each image. In the first phase of development, software was produced to interpret the AUV logs and output parametric files for each image. The images and their parameters are then assembled into a mosaic using GIS software. The improvements to the overall chain of mosaic...
This paper presents a novel cooperative positioning (CP) method to increase localization accuracy in vehicular ad-hoc networks (VANET). The proposed method uses a semi-extended Kalman filter to fuse position data and distance information of nodes in the network. This paper also introduces a new distance measurement method using the time-difference-of-arrival in positive orthogonal codes. Simulation...
Safety applications have been popular research topics in recent years, such as forward collision warning, emergency electronic brake lights and intersection collision warning. The basic safety message is used to broadcast from each car that transmits the position, car speed and car heading information. Neighbourhood cars receiving this information can decide on the danger or not in the next second...
Each year, the number of stolen vehicle is on the rise. Usually, to prevent theft, a physical type countermeasure is used such as padlock, disk break lock and other more which is a preventive action but it is not enough safe. The objective of this study is to create a controllable system that can display the location of a vehicle using Global position system (GPS) to pin point the location and Global...
As the car number of Beijing break through five million, the mode share of public transportation sector is not large enough to ease congestion. To attract more people, the public transit should provide high quality service to the public. One way to achieve this is by developing intelligent transportation systems application to provide accurate bus arrival time prediction. Bus arrival time prediction...
In this paper, we investigated the deep learning model for object classification. Robust classification networks were trained based on Deep Belief Networks (DBN) combined with several object representations included image pixel value, feature histogram by Histogram of Oriented Gradients (HOG) operator and eigen-features to distinguish four categories: pedestrian, biker, vehicle and others in the real...
Video analytics play a critical role in most recent traffic monitoring and driver assistance systems. In this context, the correct detection and classification of surrounding vehicles through image analysis has been the focus of extensive research in the last years. Robust and reliable vehicle detection from images acquired by a moving vehicle is an important problem with numerous applications including...
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