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An Android application (app), called Real Time Range Tracker, was developed as part of a Naval Innovation Science and Engineering program and provides near real-time “line of sight” range between mobile smart devices. In order to properly design tests and analyze test results, the accuracy of the data generated by the app must be fully understood along with any associated measurement uncertainties...
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with phone) and the other 100 negative images (no phone),...
Alignment of many 3D point clouds, possibly captured by multiple devices at different times, is a critical step for increasingly popular applications such as 3D model construction and augmented reality. For very large data sets, traditional methods such as ICP can become computationally intractable, or produce poor results. We present an efficient method for accurately aligning very large numbers...
Green Light Optimized Speed Advisory (GLOSA) systems have been shown to be able to reduce both CO2 emissions and fuel consumption by giving drivers speed recommendations when approaching a traffic light. For the system to reach its maximum potential, is is necessary to properly predict all different types of traffic lights, that is, also adaptive traffic lights where signals may change with lead times...
In this study, an evaluation methodology for route planning applications in public transportation is given, and existing web applications that aim to make the people use public transportation effectively, are evaluated in terms of running speed, ease of use, effectiveness etc. While inspecting outputs of software systems, Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity...
Today ensemble learning techniques became more interested in the field of predictive modelling. It is an effective technique which combines various learning algorithms so as to improve the overall prediction accuracy. The Ensemble technique works on a philosophy that a group of experts gives more accurate decisions as compared to a single expert. Ensemble modelling combines the set of classifiers...
This paper proposes a feature-based technique to detect pedestrians and recognize vehicles within thermal images that have been captured during nighttime. The proposed technique applies the support vector machine (SVM) classifier on CENsus Transformed histogRam Oriented Gradient (CENTROG) features in order to classify and detect humans and/or vehicles. Although thermal images suffer from low image...
Unmanned aerial vehicles, such as Multicopters, are becoming ubiquitous. One newer field is in electromagnetic (EM) metrology [1] [2]. For such applications the vehicles are relatively complex, housing multiple subsystems with associated wiring and metallic surfaces. The galvanically interconnected subsystems have bearing on the on-board antennas and therefore the integrity of measurements.
It is important to match vehicle GPS points onto a map. Many map-matching algorithms, which use heading, speed and position to complete the map-matching process, are not suitable for the low frequency GPS data. The distance between two adjacent GPS points in the low frequency GPS data can range from 500m to 1000m, and the vehicle can cross several streets. This paper puts forward a modified weight-based...
Ray-optical algorithms are an excellent choice to model the radio channel in a deterministic manner. Especially, in vehicular environments where the channel is time-variant and system designers potentially need to consider the non-stationarity of the channel, ray-optical tools are a welcome solution to evaluate the achievable system performance in specific scenarios. The main drawback of ray-optical...
With rapid advances in technology and connectivity, the capability to capture data from multiple sources has given rise to multiview learning wherein each object has multiple representations and a learned model, whether supervised or unsupervised, needs to integrate these different representations. Multiview learning has shown to yield better predictive and clustering models, it also is able to provide...
In this paper, we develop a model of braincontrolled vehicles. This model includes an extended driver model based on the Queuing-network cognitive architecture, a brain-computer interface (BCI) model representing the performance of the BCI system that can issue three classes of direction control commands, an interface model converting the actual steering command from the BCI system to the steering...
One of the key requirements for the evaluation of indoor localization systems is an accurate and reliable ground truth. Existing ground truth systems are often expensive due to high hardware cost and complex deployment. In this work, we present a simple yet highly accurate approach for a cost-effective ground truth system based on off-the-shelf infrastructure cameras and printable markers. We developed...
This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation...
Driver drowsiness may cause traffic injuries and death. In literature, various methods, for instance, image-based, vehicle-based, and biometric-signals-based, have been proposed for driver drowsiness detection. In this paper, a new approach using Electrocardiogram is discussed. Performance evaluation is carried out for the driver drowsiness classifier. The developed classifier yields overall accuracy,...
Support Vector Machine (SVM) classifier with Histogram of Oriented Gradients (HOG) feature become one of the most popular techniques used for vehicle detection in recent years. And the computing time of SVM is a main obstacle to get real time implementation which is important for Advanced Driver Assistance Systems (ADAS) applications. One of the effective ways to reduce the computing complexity of...
This paper presents an algorithm for cooperative UAV navigation that exploits vision-based sensing, standalone GPS, differential GPS among antennas embarked on different flying platforms, and measurements obtained by inertial sensors and magnetometers. Unlike other cooperative navigation approaches, the developed technique is mainly aimed at improving navigation performance in outdoor environments,...
“Road rage” has been a concern to traffic safety and management authorities. In order to provide an effective detection of angry driving behavior, it is necessary to provide a method for discriminating angry driving from normal. Thirty professional drivers were recruited for conducting on-road experiments in Wuhan, China. The drivers were required to finish the experiment within 110 minutes and their...
Tracking accuracy plays a critical role in V2V (vehicle-to-vehicle communications) based active safety applications. This paper proposed a beacon rate control algorithm to reduce the tracking error. By analyzing the vehicle trajectory tracking process, it is found that the tracking error is proportional to the moving status of a vehicle, as well as the data delay. Due to the constraint of the wireless...
The paper designs and implements a real-time speed limit sign recognition and over-speed warning system on android mobile devices. The proposed system can inform car drivers the current speed limit by recognizing speed limit signs. Furthermore, we also combine GPS function with speed limit sign recognition to warn car drivers in over-speed condition which can avoid car drivers to get punished tickets...
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