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Over the last decade, context has become a key source of information for tracking problems. Context inference allows refining sensor modeling and target dynamics as well as the creation of motion constraints according to the physical and operational conditions of the scenario. This work presents two example applications: indoor and inland waterway navigation where the context information is employed...
In this paper the concept of Bayesian Networks (BN) is applied to the problem of traffic data acquisition by data fusion. Two wireless communication based sensors are used as data sources: IEEE 802.15.1 Bluetooth and IEEE 802.11p V2X (vehicle to vehicle and vehicle to infrastructure). Via V2X so called cooperative awareness messages (CAM) are received, which provide information on vehicle location...
This paper presents a novel corner-based force estimation method to monitor tire capacities required for the traction and stability control systems. This is entailed for more advanced vehicle stability systems in harsh maneuvers. A novel estimation structure is proposed in this paper for the longitudinal, lateral, and vertical tire forces robust to the road friction condition. A nonlinear and a Kalman...
Wide Area Surveillance (WAS) systems are capable of providing continuous surveillance of critical areas as wide as city center (approximately 20 km square), mostly as a gray-level video. Utilization of road information for WAS systems increases moving vehicle tracking performance, while reducing the false alarm rates that might occur due to tall buildings, shadows or terrain. Two different novel approaches...
In the rocket transportation the road roughness load can cause its solid motor charge to vibrate randomly. To get information about the motor charge's dynamic characteristic and damage degree, this paper calculated the charge's vibration responses by road excitations on the numerical method of mechanical modeling. First the rocket launcher's simplified model was built and the transfer function was...
With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What is seen and what happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this paper, we develop a speed-adaptive street view image generation...
To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining road traffic density for traffic management. To address the needs of autonomous traffic data extraction and video analysis, a vast body of research exists. However, these schemes are...
For more accurate estimation of urban traffic emissions, it is necessary to study the emission estimates under different traffic conditions. In this paper, a novel emission estimation method on the basis of levels-of-service (LOS) is presented to estimate city emissions under different traffic conditions. The primary contributions of our work are a novel set of velocity-acceleration features to distinguish...
In this report, we discuss about a data mining method for multi-modal in-vehicle sensor signals. Though several methods were previously proposed for symbolization of the multi-modal in-vehicle signals, the effectiveness of such method were not discussed in detail. We adopt the Bag-of-System (BoS) technique, a variation of the Bag-of-Features for sensor signals used in motion analysis, and evaluate...
A collision risk estimation plays a crucial role in both driver and pedestrian safety in advanced driver assistance systems (ADAS) and autonomous vehicle navigation(AVN). In the proposed approach, an object warning collision system is implemented using a laser sensor. We focus on high conflict vehicle/pedestrian zones within a range of [20km/h, 30km/h]. The proposed method was implemented in four...
In order to enhance road safety, this article presents a robust methodology for estimation of vehicle's lateral dynamics states, including velocities, sideslip angles, accelerations and tire forces. Awareness of vehicle dynamics states is essential for most intelligent vehicle control systems. However some of these states are not available by direct sensor measurement for technical and economical...
For intelligent vehicle systems, lane detection is still a challenging task because it must cope with various road environments. In this paper, we propose a reliable method with Gabor filters. The proposed approach consists of two step. In the first step, the vanishing-point locations is estimated by the texture feature based method. The key attributes of this method consist of the dominant texture...
Traffic Level of Service (LOS) information is crucial for traffic management systems, especially in urban areas. One method to estimate traffic LoS is to use a central server system to process traffic images captured by road side cameras. However, this approach requires a high performance server system as well as high network throughput to transmit images from the cameras to the server, which results...
This paper describes systematically two methods used in intelligent transportation systems: Distance Estimation using an onboard camera and car position detection. Distance estimation is a method for detecting distance for the preceding vehicles based on monocular camera. Vehicle position detection is a method of specifying the vehicle position relative to the road that can serve as Lane Departure...
Increased traffic and hence congestion is a major problem in cities or urban areas. To mitigate this problem of congestion a real-time traffic density estimation model is essential. This research proposes one such model for estimating the traffic congestion level with the help of Vehicular Ad-hoc Network (VANET) and Cloud Computing. In this work, a novel architecture and algorithm has been proposed...
The knowledge of Inter-vehicle link duration is an important parameter in Vehicular Ad hoc Networks (VANETs), as it is useful for vehicles to delay their information transmission if link breakage is anticipated before completing the transmission. In addition, it plays a pivotal role in routing, as it allows proactive construction of long-life paths, and optimizing next-hop selection in position-based...
Follow me cloud (FMC) is one of the solutions to the limitations of the service quality and type of functionality due to the inherent constraints of mobility management. In this paper, we address the tradeoff between the overhead and Quality of Experience (QoE) by proposing a mobility-based services migration prediction (MSMP). The aim of MSMP is to plan, for a given service, the sequence of data...
Freeway traffic state estimation is the major assurance of traffic management and control. This paper addresses a traffic density estimator for Beijing third ring freeway. First, we apply a new modeling method called Dynamic Graph Hybrid Automata (DGHA) to express the traffic dynamics and the evolution law of the freeway network by piecewise-linear. On this basis, it is feasible to use a open source...
In this paper, we propose a method for constructing road roughness on parallel tracks. This method uses empirical power spectral densities and coherence of the left and the right-tracks estimated by non-parametric methods. The proposed method is based on a recently developed subspace-based spectrum estimation algorithm for multi-input/multi-output systems. Positivity of the estimated spectra are guaranteed...
Participatory sensing (PS) is an emerging socio-technological paradigm in which citizens voluntarily participate and contribute to a distributed information system using applications installed in their hand-held devices. It can be found in a number of real-life applications, viz. traffic monitoring, air/sound pollution, garbage monitoring, social networking, commodity pricing, and so on. In these...
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