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The school shuttle system commonly uses the vehicle to facilitate students to go and go home from school. However, there needs to be a development in terms of monitoring the students. In this paper explains the development of school shuttle system with IoT concept to apply Smart School application. The system will be designed uses a reader that will identify the identity card of students using Bluetooth...
We present a novel vision-based traffic monitoring system, which is inspired by the visual structure found in raptors, for tracking expressway vehicles and estimation of their real-world speed over a longer range compared to the typical, single-camera monitoring systems. This vision system features a license plate detection camera that is triggered whenever there is an instance of overspeeding. The...
In this paper a road traffic monitoring system based on a 24 GHz radar sensor is considered. This radar sensor detects and tracks all moving and stationary objects in the local environment. The object tracking procedure used in the radar sensor can be improved if any road map information about the local environment of the sensor is available to the traffic monitoring system. This step is especially...
The vehicular networks represent an innovative and a promising research area. They contribute in the realization of ITS (intelligent transportation systems) to improve road safety and to provide various services and applications for both drivers and passengers. Several applications require knowledge of vehicle's positions such as target tracking. In a previous work, an approach for tracking exploiting...
Rolling stock wheels eventually show, soon or later, geometry defects, cracks, fatigue, flaking, wear, etc. These defects induce an additional stress in both, wheels and rail tracks which in turn tend to decrease the infrastructure life time. This paper presents an on-line monitoring system installed at Estarreja (Portugal north rail track network) able to detect the approximation to the measure zone,...
This paper proposes a visual servoing system for a spherical underwater robot. Based on the spherical robot design, the forces and moments acting on it are analyzed and the governing motion equations are derived. The system consists of an on-board bottom facing camera module which is color coded to extract the position information and then guide the robot to follow the reference pattern placed at...
Monitoring in large scale environments is a typical mission in cooperative robotics. This task requires the exploration of a huge domain by a generally small number of sensor equipped mobile robots. As time restrictions prohibit an exhaustive global search, a sampling strategy is required that allows an efficient spatial mapping of the environment. This paper proposes an adaptive sampling strategy...
Lane detection is an important component of many intelligent transportation systems. This paper proposes a novel lane departure algorithm for detecting lane markers in images acquired from a forward-looking vehicle-mounted camera. The interested targets of the algorithm are always the nearest two lanes to the automobile, and it can detect the left and right lane separately, which would generate the...
The definition of risk in the transport of dangerous goods is an open issue. No international standard is currently defined. In addition, the definition of risk is directly related to the possibility to its control at decisional level, for example, by rerouting the traffic. In this work, a proposal to define risk at strategic, tactical, operational and realtime level is proposed. A system of systems...
In this paper we present behavior recognition algorithms using images captured by a small UAV (unmanned aerial vehicle). Small UAVs provide a mobile platform capable of monitoring a large area, but each UAV has a limited field of view, resulting in very brief observations of targets of interest as UAVs fly over them. Standard behavior recognition algorithms are designed for CCTV networks, where cameras...
In this paper, we propose and develop a small-scale research platform for intelligent transportation systems. Our platform has four main parts: an arena; an indoor localization system; automated radio controlled (RC) cars; and roadside monitoring facilities. First, to mimic the traffic environments we build an arena with a wooden floor, mock buildings and streets. Second, for the indoor localization...
The main idea behind this project is to develop a non-intrusive system which can detect fatigue of the driver and issue a timely warning. Since a large number of road accidents occur due to the driver drowsiness. Hence this system will be helpful in preventing many accidents, and consequently save money and reduce personal suffering. This system will monitor the driver's eyes using camera and by developing...
As urban road intersections are prone to traffic congestion and traffic accidents, monitoring the crossing of vehicles and predicting the state is needed to reduce traffic congestion, regulate driver behavior and prevent accidents. Background subtraction and mean shift tracking are used to track vehicles. The whole monitoring process is as following. Firstly, secondary selected strategy is used to...
This paper is based on NDRC project "National Large and medium-sized agricultural products market informatization construction projects," developing the logistics process of real-time tracking management system for real-time Management of agricultural products in China. The real-time monitoring system of the logistics is designed with four subsystems: testing the temperature and humidity...
We present detection and tracking methods for highway monitoring based on video and audio sensors, and the combination of these two modalities. We evaluate the performance of the different systems on realistic data sets that have been recorded on Austrian highways. It is shown that we can achieve a very good performance for video-based incident detection of wrong-way drivers, still standing vehicles,...
The research on event detection in unmanned aerial videos has received a large attention in the recent years. Plenty of methods have been proposed in this area. However, there is no agreement on which methods fit well for the application in the unmanned aerial videos and which methods fit well for certain event detection. In this paper, we present a framework for event detection in unmanned aerial...
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking,...
Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning system is presented. Our system contains modules...
Statistics show that the number of cars is increasing rapidly and so is the number of car theft attempts, locally and internationally. Although there are a lot of car security systems that had been produced lately, but the result is still disappointing as the number of car theft cases still increases. The thieves are inventing cleverer and stronger stealing techniques that need more powerful security...
This paper deals with geofencing: an innovative technology, based on telematics and satellite positioning. Geofencing enables remote monitoring of geographic areas surrounded by a virtual fence (geofence), and automatic detections when tracked mobile objects enter or exit these areas. The paper presents fundamental concepts of geofencing and some applications based on this technique, in the transport...
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