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Recently, involving wireless communication technologies in deployment of new vehicular networks becomes more attracting to the research community and vehicle manufacturers. It is beneficial in providing intelligent transportation system as well as new assistant services to drivers. However, the limitation of resources in mobile vehicles is a significant technical challenge in the deployment of new...
Cooperative speed harmonization based on floating car data aiming at improving manoeuvrability in a highly utilized intersection is presented. Cooperative Intelligent Transportation Systems (C-ITS) aims at gather information about the current traffic situation based on wireless communication and provide aggregated information back to the road users in order to improve e.g. efficiency, safety and/or...
Dijkstra algorithm is a classic algorithm of computing the shortest path between two points. In past the amount of urban vehicles is small, so the shortest path is the optimal one. However, with the increasing of cars, traffic congestion is serious. The path calculated by using traditional Dijkstra is still the shortest path, but it is not necessarily the optimal. Therefore, in order to solve the...
Future collision avoidance systems for crossing- scenarios depend on a reliable vehicle-to-vehicle communication link. Consequently, a deeper insight into inter-vehicle communication performance at intersections is needed. This paper presents three intersection categories for non-line-of-sight communication scenarios, based on a large measurement data set. For each category, packet delivery rates...
Currently, vehicular ad-hoc network (VANET) is one of the most successful mobile ad-hoc network (MANET) commercially. Vehicles use two kind of messages named Safety Alert Message in order to advertise their change of status. One of them is periodic safety message (PSM), the other is event driven safety message (EDS) which occurs as soon as the vehicles' status change abnormally. (i.e. change in speed...
One of essential factors in mission planning for an AUV group is mission running time. This paper addresses decentralized techniques, which can be used in order to minimize mission running time under uncertainty such as a change in the list of group members. The major contribution of this paper is decentralization of a previously developed mathematical model (a “version model”), intended for centralized...
Deviation detection is important for self-monitoring systems. To perform deviation detection well requires methods that, given only "normal" data from a distribution of unknown parametric form, can produce a reliable statistic for rejecting the null hypothesis, i.e. evidence for devating data. One measure of the strength of this evidence based on the data is the p-value, but few deviation...
Nowadays, video surveillance systems are in urgent and increasing demand to ensure people, things and places' security. The necessity to control and/or alert in case of abnormal events taking place requires pulling out more useful information from video data. Accordingly, there is motivation to improve scalability and capacity of video surveillance systems. Scalability issues in literature are always...
Traffic accidents are a fact of life. While accidents are sometimes unavoidable, studies show that the long response time required for emergency responders to arrive is a primary reason behind increased fatalities in serious accidents. One way to reduce this response time is to reduce the amount of time it takes to report an accident. Smartphones are ubiquitous and with network connectivity are perfect...
We solve the minimum time rendezvous problem for Dubins' vehicles with non-identical velocity constraint in this paper. To solve this problem, the vehicle's determining region is proposed through Apollonius circles, which provides a planar partition method. According to the partition, we show that the minimum time rendezvous point (MTRP) uniquely exists and locates on the boundary of some vehicle's...
In-cabin wireless networks are attractive in that they enable the passengers to use their own personal equipment during road trips. It is therefore important to obtain information about the wave propagation in the vehicle cabin. This paper presents preliminary results of ray-tracing simulations of the in-vehicle radio channel. The simulations have been performed with respect to the passenger cabin...
The vehicle detection is extremely important for the traffic parameter extraction and analysis in traffic scenes. In order to detect moving vehicle quickly, this paper proposes a samples-based adaptive segmentation detection algorithm. First, select the first frame as a reference frame, use a random policy to select values to build a samples-based estimation of the background. Second, we adopt different...
This paper presents a simulation study of Named Data Networking (NDN) applied to vehicular communication in an urban environment. A detailed simulation of the urban mobility is provided and the study demonstrates the effectiveness of NDN to transfer messages thanks to the opportunistic multi-hop communication provided by the vehicular network.
Composite materials are extending the horizons of designers in all branches of engineering. The significance of composites is the material properties like high stiffness to weight ratio and high impact strength compared to the conventional materials. The major applications of composites are Aerospace applications in which most of parts require low weight and high strength. The present work encompasses...
License plate recognition (LPR) plays a major role in this busy world, as the number of vehicles increases day by day, theft of vehicles, breaking traffic rules, entering restricted area are also increases linearly, so to block this act license plate recognition system is designed. License Plate Recognition systems basically consist of 3 main processing steps such as: Detection of number plate, Segmentation...
Lack of electric vehicle charging infrastructure is a major barrier to electric vehicle (EV) adoption although the environmental benefits of EVs are well documented. Deployment of this infrastructure should be optimized to maximize use and facilitate adoption of this new technology. Forecasting the amount and location of demand for EVSE will help utilities anticipate and plan for this new electricity...
Smartphones embed increasingly complex sensors that can be used for a wide range of connected applications. Their growing market penetration provides the opportunity to develop novel distributed sensing platforms that will constitute the foundation for emerging commercial applications. In this work we present SenseFleet, a smartphone-based driver profiling platform. The concept behind SenseFleet is...
A novel approach to utilizing negative information to improve multiple hypothesis tracking (MHT) of extended objects is presented. Specifically, a missed detection of a tracked object is treated as an observation of object occlusion, the likelihood of which is described by an occlusion-based sensor detection model. This negative observation is used to update hypothesis weights in a method that is...
Vehicular Ad hoc Networks are a long-term solution contributing significantly towards Intelligent Transport Systems in providing access to critical life-safety applications and services. Although Vehicular Ad hoc Networks are attracting greater commercial interest, current research has not adequately captured the real-world constraints in Vehicular Ad hoc Network handover techniques. This is necessary...
Our earlier lane-marking detection method identified lane-markings appearing on an input image based on the intensity contrast between lane-markings pixels and their neighboring pixels. This detection results in outputs with nearly-zero false negatives, but with many false positives. To filter out these false positives in a principled way, we utilize the driving direction of a roadway. We do this...
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