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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,...
This paper proposes a model-based method to estimate lateral planar vehicle states using a forward-looking monocular camera, a yaw rate gyroscope, and an a priori map of road superelevation and temporally previewed lane geometry. Theoretical estimator performance from a steady-state Kalman-filter implementation of the estimation framework is calculated for various look-ahead distances and vehicle...
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...
Dynamic Traffic Assignment (DTA) has become a main component of modern traffic control centres. To calibrate a DTA model the observations from the field are required. There has been increasing number of sensors and technologies which can provide these data. In this paper we briefly describe these sensors and elaborate on the various traffic data types that are used in dynamic demand calibration. The...
The needs for cheaper and less intrusive ways to collect activity-travel diaries led scientist to pursue new technologies, e.g., positioning technologies like GPS. While a fully, reliable and widely accepted automatic activity-travel diary collection system is yet to be developed, scientists have presented systems that automate parts of an activity-travel diary collection. In the advent of automated...
Vehicle positioning in infrared vehicle-to-infrastructure communication systems can be realized with the aid of signal-direction discrimination. The coming direction of the infrared signal can be acquired with high precision by comparing the sgnal strengths received by different receiving modules in the signal-direction discriminator, provided that all the receiving modules together with their amplification...
This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00...
Insurance telematics is a disruptive technology that is expected to reform the vehicle insurance industry. Based on sensor data, the traditional measures for calculating the insurance premium are complemented to determine a fee that more accurately predicts the risk profile of the policyholder. From an instrumentation and measurement point of view, there are several insurance telematics challenges...
This paper proposes a new vehicle color classification scheme to identify vehicles with their colors. To detect vehicles from roads, the paper proposes a novel symmetrical descriptor to determine the ROI of each vehicle without using any motion features. This scheme provides two advantages; there is no need of background subtraction and it is extremely efficient for real-time applications. After detection,...
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