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Users' home location is important information for many advanced information services in big data applications (e.g., localized recommendation, target ads of local business and urban planning). In this paper, we study the problem of accurately inferring the home locations of people from the noisy and sparse data they voluntarily share on online social media. Previous studies have developed supervised...
An algorithm for wind velocity estimation using data from Flush Air Data System (FADS) and GPS aided navigation outputs is presented in this paper. Raw estimates of wind velocity are determined using angle of attack, angle of sideslip and Mach number from FADS and GPS aided position and velocity components. These estimates are further applied to a Kalman filter to obtain optimal wind estimates. The...
Performing array processing on the Global Navigation Satellite Systems (GNSS) signals in a controlled environment requires costly hardware that most researchers cannot afford. This paper introduces a new experimental approach that substantially reduces that cost. It makes possible the emulation of raw digitized in-phase (I) and quadrature phase (Q) samples of GNSS signals, received by an array of...
Inferring the type of vehicles on a road is a fundamental task within several applications. Some recent works have exploited Global Positioning System (GPS) devices and used classification of GPS traces to tackle the problem. Existing approaches based on GPS data make use of GPS trajectories sampled at high frequency (about 1 sample per second), but GPS trackers currently installed on public and commercial...
Position information is important for conducting battlefield missions. GPS generally enables allies to identify positions. RELNAV defined in Link-16 is used for JU in the air to estimate its position as an auxiliary navigation system of GPS. However, there is a critical problem in RELNAV. To operate accurately, RELNAV requires the presence of ground reference units that help to estimate the positions...
Cooperative multi-AUV localization has the potential to outperform single-AUV localization, by taking advantage of data sharing among the team members. Unlike terrestrial communication links, underwater communication links have many issues pertaining to the channel stability and bandwidth, and therefore a decentralized localization is preferred. However this opens up new challenges to team members...
We propose a nonstationary jammer signal suppression technique based on parametric sparse reconstruction, where sparsely sampled data are considered. By assuming nonstationary jammers that are characterized by polynomial phase signatures, a data-dependent parametric dictionary matrix is designed. In order to obtain an accurate instantaneous frequency estimation at a low computational complexity, we...
Considering the traffic safety in the scenario of arterial road with on-ramp, this study proposes a time-to-collision (TTC) based vehicular collision warning algorithm under connected environment. In particular, the information of vehicles of interest, i.e., position, traveling direction and velocity, is assumed to be collected by the roadside device via the vehicle-to-infrastructure (V2I) communications...
The spin of a projectile results in an amplitude and phase modulation on the received Global Positioning System (GPS) signal when superimposing the antenna signals from a uniform circular array (UCA) with the same amplitude and phase. Since the phase modulation can be considered more significant compared to the amplitude modulation, the influence of the phase modulation on the estimation of the position...
Technical advancements allow for the development of crowd monitoring and management support systems to ensure the safety of pedestrians during large-scale events. This way, pedestrian behaviour can be monitored during events, and potential dangerous situations can be identified in a timely manner. A real-time prototype Crowd Monitoring Dashboard has been developed for a large nautical event in Amsterdam...
The localization of a vehicle is a central task of autonomous driving. Most of the time, it is solved by considering a single algorithm with a few sensors. In this paper, we propose a cooperative fusion architecture based on two main algorithms: a laser-based Simultaneous Localization And Mapping (SLAM) process and a lane detection and tracking approach using a single camera. Both algorithms are designed...
In passive mobile positioning, the cell-level measurements must be translated into a geographical location, which can be expressed as spatial probability density function (SPDF). In this paper, we present the results of a study where we compared different methods to estimate SPDF of passive mobile positioning. The mobile operators provide spatial data about network cells. It is called cellplan. Cellplan...
Due to the increasing spread of location-aware applications, developers interest in user location estimation has grown in recent years. As users spend the majority of their time in few meaningful places (i.e., groups of near locations that can be considered as a unique place, such as home, school or the workplace), this paper presents a new energy efficient method to estimate user presence in a meaningful...
A robot is sometimes unable to obtain its precise location, or the location of its neighbors, due to the limitations of the global positioning system (GPS) or due to positioning information not being exchanged between neighbors. In either scenario, received radio signals can be used by a robot to infer positioning information, but the process is challenging because of the dynamics of radio wave propagation...
This paper presents a tracking algorithm of an Autonomous Underwater Vehicle (AUV) using an Autonomous Surface Vehicle (ASV) equipped with a ranger interrogator system. Worldwide, there has been increasing interest in the use of ASVs to execute missions of increasing complexity without direct supervision by human operators. A key-enabling element for the execution of such missions is the availability...
In this paper, We propose angle of arrival (AoA) assisted localization scheme for underwater Ad-Hoc sensor networks in 2-D and 3-D. This scheme estimates distances from sensor nodes to anchor nodes via multi-hops with the help of AoA measurements. By forwarding distance at each node hop-by-hop, the distance estimations can be flooded to the whole network. Once a sensor node got distance estimations...
Detecting congestion in urban areas is critical and creates a myriad of complications. Intelligent Transportation Systems (ITS), which are trending in recent years, are used by researchers to engage problems related to congestion and transportation. However, due to the open access in urban area structures, it is less feasible to handle rife data that is generated from vehicles and infrastructure....
Rapid technological advances in electronics, computers, software applications and the aerospace industry have dramatically decreased the cost of implementation while increasing the availability of Unmanned Aerial vehicles (UAVs). UAVs are those flying aircrafts that runs without an onboard pilot. They are controlled through a computer or remote. The main motive of this survey is to scrutinize theoretical...
Nowadays, navigation is an important application in smartphones. However, locating a mobile is an imperative task, because the GPS signal is easily corrupted. Pedestrian Dead Reckoning (PDR), is a relative positioning approach using step length and heading estimation. Step length is changing while a pedestrian does different movements. To accurately estimate the step length, we used a model based...
In this paper, we present an innovative calibration procedure to determine the angle misalignments, also known as boresight, between the coordinate systems of an inertial navigation system (INS) and a camera. All currently known approaches integrate positional information from the INS in the optimization process. Thereby, the position errors in the range of a few meters of most INS devices negatively...
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