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We address the problem of incorporating uncertain location data in the generation of speed profiles for vehicles on roads with multiple lanes. Moving objects' location data can be obtained from different/multiple sources – e.g., GPS on-board the moving objects, roadside sensors, cameras. However, each source has inherent limitations that affect the precision – from pure measurement-errors, to sparsity...
The evolution of smartphones and their embedded sensors motivates research toward the development of handheld device based navigation solutions especially for harsh environments. In this context, Pedestrian Dead Reckoning is usually adopted to compute the pedestrian's trajectory. Step/stride lengths and walking directions are combined in a recursive process. Unfortunately the estimated path suffers...
Location-based services have become important in social networking, mobile applications, advertising, traffic monitoring, and many other domains. The growth of location sensing devices has led to the vast generation of dynamic spatial-temporal data in the form of moving object trajectories which can be characterized as big trajectory data. Big trajectory data enables the opportunities such as analyzing...
This paper presents a novel tightly INS/GPS integration algorithm for altitude estimation. The altitude estimation is independent to provide accurate Euler angles for INS system, and magnetic sensors reduce the growth-rate of navigation-errors. In this paper, a tightly INS/GPS model is built with 23 state variables; bias and scale factor of IMU are estimated to correct INS system; and PVT information...
Optimal location queries identify the best locations to set up new facilities for providing service to its users. For several businesses such as fuel stations, cellphone base-stations, etc., placement queries require taking into account the mobility patterns (or trajectories) of the users. In this work, we formulate the TOPS (Trajectory-Aware Optimal Placement of Services) query that locates the best...
With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be collected every day. However, the raw coordinate data captured by sensors often cannot reflect real positions due to many physical constraints and some rules of law. How to accurately match GPS trajectories to roads on a digital map is an important issue. Many existing methods still cannot meet stringent...
Greenhouse gas emission by the increasing number of vehicles have become a significant problem in modern cities. To save energy and protect environment, recommending fuel-efficient routes to drivers becomes a promising way to alleviate this issue. To this end, in this paper, we present a novel fuel-efficient path-planning framework called GreenPlanner, which contains two phases. In the first phase,...
Bus transports in the cities of many developing countries are marred with severe problems, like information unavailability, bad road and bus conditions, lack of proper scheduling and timing, and so on. An information service can become extremely handy for the travelers in countries with emerging economy, where public traffic systems are generally riddled with uncertainty. We have developed CrowdMap...
Global Positioning System (GPS) has found its application in the field of Intelligent Transportation Systems (ITS) in fleet management, prediction of arrival of public transport vehicles, route identification, route navigation, and many other location based services. Map matching algorithms integrate the positioning data received from the GPS, with digital road networks on existing maps. This includes...
As we all known, autonomous navigation system is the basic of AUV movement, besides, accurate position estimation and reliable measurement are the keys of it. In order to avoid accumulating position errors in the long voyage by using navigation algorithm, we can depend on GPS. Due to the influence of diving and floating process, GPS data would slip. The slips affect the accuracy of navigation seriously...
Precise positioning of AUV plays an important role in the efficient and reliable underwater operation. The extended Kalman filter (EKF) is the most commonly used method, because this algorithm is easy to implement. However, EKF is only effective for nonlinear systems with approximate linearity, then truncation error is introduced. When the initial state error is large or the system model has high...
Sensing of urban bus travelling data based on data collection from the Internet enables researchers from different regions to focus on the same study objects and promote the development of corresponding theories and technology. In this study, seven processes running on two servers were employed to retrieve real-time bus travelling data from the official bus information inquiry website of Suzhou, China...
With the growing number of location-based SNS (Social Networking Service) users, the utilization of SNS data is getting more and more important. In this paper, we focus on the prediction of users' locations from location-based SNS data. The location-based SNS data consists of sequence of checkins which are too sparse to predict the users' locations. In our previous research we generated users' probability...
We study the problem of identifying vehicle trajectories from the sequences of noisy geospatial-temporal datasets. Nowadays we witness the accumulation of vehicle trajectory datasets in the form of the sequences of GPS points. However, in many cases the sequences of GPS points are sparse and noisy so that identifying the actual trajectories of vehicles is hard. Although there are many advanced map-matching...
High resolution 3D mapping of road systems is currently being carried out by expensive Mobile Mapping Systems (MMS) but coverage is limited. Recently Low Cost Sensor (LCS) systems have been developed which use common, low cost, internal MEMS position sensors from mobile phones, but such sensors come with a reduced absolute and relative positional accuracy. This study investigates the registration...
Implementing trajectory data stream analysis in parallel has technical issues of data partition and improvements of the analysis operations. In this paper, we define the trajectory analysis problem as discovering trajectory companies of moving objects. We develop a discovery workflow in parallel batch processing. We solve technical issues of data partition and data locality in the steps of analysis...
In this paper, we introduce the multi-drone platform which is realized by swarm algorithm. One of the most challenging problems when maneuvering multiple drones is guaranteeing collision avoidance. Since our swarm algorithm is based on the artificial potential function(APF), collision avoidance between quadrotors is guaranteed. First, the constructive way to generate swarm controller will be given...
Recently, smartphones are increasingly used in situation-aware applications, e.g. determining the way of transportation when an individual is going outside. However the existing methods of transportation mode classification often suffer from high computing complexity and unsatisfactory accuracy. In this paper we present EasiTMC, a two-stage hierarchical classification framework which consists of coarse-...
With more and more trajectory traces available, conducting analysis and mining on those trajectories can obtain valuable information. Although the published traces are often made anonymous by substituting the true identities of mobile nodes with random identifiers, the privacy concern remains. In this paper, we propose a new de-anonymization attack based on the movement pattern of moving objects....
Acquiring accurate location information of vehicles is of great importance. Global Positioning System (GPS) has been widely deployed and used to be the most convenient solution to outdoor localization. As more and more infrastructure such as elevated roads, tunnels and tall buildings is built, however, the ever-increasing complexity of urban environments makes vehicle localization especially in those...
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