The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Despite significant progress in GPS-denied autonomous flight, long-distance traversals (> 100 km) in the absence of GPS remain elusive. This paper demonstrates a method capable of accurately estimating the aircraft state over a 218 km flight with a final position error of 27 m, 0.012% of the distance traveled. Our technique efficiently captures the full state dynamics of the air vehicle with semi-intermittent...
Mobility On Demand (MOD) systems are revolutionizing transportation in urban settings by improving vehicle utilization and reducing parking congestion. A key factor in the success of an MOD system is the ability to measure and respond to real-time customer arrival data. Real time traffic arrival rate data is traditionally difficult to obtain due to the need to install fixed sensors throughout the...
In the last decade, consumer electronic devices such as smartphones, are packaged with small cameras, gyroscopes, and accelerometers, all sensors allowing autonomous deployment of aerial robots in GPS-denied environments. Our previous work [1], demonstrated the feasibility of using smartphones for autonomous flight. In many applications, there is a large interest to the use multiple autonomous aerial...
Today's vehicles are sensor-rich but computation-poor. To better assist drivers, current vehicles have a large number of diverse sensors, for instance, the 2017 Ford GT has over 50 built-in cameras and sensors that can determine speed, location, humidity, occupancy, mechanical positioning, and a wealth of other data. However, modern vehicles have little general-purpose computing capacity due to cost,...
We present a framework for vision based localization for two or more multirotor aerial vehicles relative to each other. This collaborative localization technique is built upon a relative pose estimation strategy between two or more cameras with the capability of estimating accurate metric poses between each other even through fast motion and continually changing environments. Through synchronized...
Hardware-in-the-loop (HIL) and fault injection testing are widely used in automotive industry to validate hardware and software architectures as best practice and in fulfillment with international functional safety standards. Time and economical investments can constitute an obstacle to the development of effective testing systems, especially for small and medium automotive industries. This paper...
Autonomous driving technology has made significant advances in recent years. In order for self-driving cars to become practical, they are required to operate safely and reliably even under adverse driving conditions. However, most current autonomous driving cars have only been shown to be operational under amiable weather conditions, i.e., on sunny days on dry roads. In order to enable autonomous...
The paper presents a solution for reducing road traffic emissions and particulate matter from non-electric (classic) vehicles in cities by sharing cooperative driving information. Vehicles are equipped with dynamics and GPS sensors. Ad-hoc vehicular networking (VANET) is used as media for communication. A specific algorithm is developed to collect anonymous information and suggest to drivers best...
Future Advanced Driver Assistance Systems (ADAS) require the continuous computation of detailed maps of the vehicle's environment. Due to the high demand of accuracy and the enormous amount of data to be fused and processed, common architectures used today, like single-core processors in automotive Electronic Control Units (ECUs), do not provide enough computing power. Here, emerging embedded multi-core...
In recent years, the concept of Internet of Vehicles (IoV) is becoming a hot research issue. However, too much and clutter information received by drivers through IoV may affect their driving attention. It is necessary to provide drivers effective guide and notification services according to time, locations and events. This study proposes a Message Queue Telemetry Transport (MQTT) based guide and...
Cooperative Intelligent Transportation Systems (CITS) are being developed to make road traffic safer and more efficient. Vehicle to vehicle (V2V) communication plays an important role for the cooperative awareness of vehicles in all the CITS standards in EU, US, and Japan. Essentially the CITS application relies on the exchanged data by V2V messages (called Cooperative Awareness Message (CAM) in EU)...
This article presents the implementation of an indoor localization approach that combines map matching and a circular particle filter defined in a Bayesian framework. The technique relies only on velocity and heading observations coupled with a map of the road network. No prior knowledge of the initial position is given. A circular distribution is used to match the vehicle's heading with the roads...
The paper proposes a method to make roads a safer place for driving by taking advantage of Internet of Things (IoT) enabled vehicles. The proposed method is based on assessing the trust levels of each vehicle and the behavioral patterns of the driver. Proposed method also utilizes a mobile agent(MA) which would help detecting Misbehaving nodes in the IoT enabled Vehicular Adhoc NETwork (VANET). The...
Incorporating driver behavior information into vehicle control strategies can significantly improve performance of vehicle control systems, such as active safety systems and driver assistance systems. This paper proposes an algorithm for driver behavior characterization based on handling limits. In order to implement the handling limit-based algorithm, an interacting multiple model estimation technique...
The primary goal of this paper is to investigate what could have made successful Google's OpenSpot, a crowdsensing based parking assistance application cancelled in 2012. For this analysis we have developed UPark, a simulation environment capable of simulating large numbers of vehicles, which look for optimal parking spots in busy urban environments and whose drivers might inform others when they...
Advanced driver assistance systems are required to detect latent hazards posed by surrounding vehicles and generate an appropriate response to enhance safety. Lane changes constitute potentially risky maneuvers, as drivers involved encounter latent hazards due to surrounding vehicles. A careful study of lane change behavior is therefore essential in identifying potential abnormalities that may lead...
Positioning and timing subsystems are crucial components for cooperative and autonomous driving. Both during development and for validation and certification, it is crucial that advanced testing systems are available. To support the complete development life cycle, testing tools for hardware in the loop testing, open test track testing, and public road testing are required. This paper gives an overview...
The vulnerability of military installations and critical infrastructure sites from underwater threats is now well accepted and, in order to combat these security weaknesses, there has been growing interest in — and adoption of — sonar technology. Greater availability of Autonomous/Unmanned Underwater Vehicles (A/UUVs) to both adversary nations and terrorists/saboteurs is also a cause of increasing...
In this paper, we present the "Slow Start Problem" in participatory sensing applications where a service is provided based on data collected by participants. The slow start problem refers to the initial stage in participatory sensing service deployment, during which service adoption remains sparse and, hence, the collected data does not offer adequate coverage. Predictive models, learned...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.