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.
Big Data technology is becoming ubiquitous and depicting key attention of researchers in almost all areas. VANET is a special form of MANET that uses vehicles as nodes in a network. By applying Big Data technologies to Vehicular Ad-hoc Network (VANET), one can gain useful insight from a huge amount of operational data, to improve traffic management processes such as planning, engineering and operations...
The state-of-the-art advancements in wireless communication and pervasive internet capabilities have led to significant breakthroughs in intelligent transportation systems where connectivity, autonomous driving and infotainment enhance the driving experience. The Vehicle ad hoc Networks has emerged as a distinguished branch of wireless communication; that pertains categorically to transportation systems...
Near Field Communication technology is an emerging concept in the field of data transfer and is rapidly catching on the market by replacing technologies such as Bluetooth, infrared and other modes of data sharing because of its ease of use and diverse scopes that are available using this technology. The NFC technology basically is a descendant of RFID (Radio Frequency Identification) technology, which...
Mobile robots are used in manufacturing workshops and storage plants to automate internal logistics. A model of a manufacturing plant which is representative of the forthcoming flexible systems is presented in this paper. It has been implemented in physical simulator V-Rep, with the KUKA youBot robot as the unit to perform material transportation and handling. This implementation has been used to...
The software architecture AUTOSAR has become a standard in the automotive domain in recent years. It supports the development of reusable standardized software components that can be easily assigned to electronic control units (ECUs) at design time. At the end of the development process the AUTOSAR middleware is configured and compiled into a static configuration. However, future automotive systems...
An application for offline Reinforcement Learning in the underwater domain is proposed. We present and evaluate the integration of the Q-learning algorithm into an Autonomous Underwater Vehicle (AUV) for learning the action-value function in simulation. Three separate experiments are presented. The first compares two search policies: the ε - least visited, and random action, with respect to convergence...
A diverse range of architectures and concepts has been suggested by academic researchers within the theme of ridesharing. Most of these studies have tried to join together two main elements: the need for mobility and the resources used to achieve this action. Based on empty seats in the private cars, rideshare systems allow a substantial number of people to share car rides. If a request can be matched...
Decision making involves selection of a choice among alternatives. Making the right decision can be interpreted as choosing the more coherent alternative. In the context of adaptive decision making, Thagard's deliberative coherence model provides a computational model for which one is more coherent. This article presents the implementation and the integration of coherence-driven adaptive decision...
Cyber Physical Systems (CPSs), such as those found in modern vehicles, include a number of important time and safety-critical functions. Traditionally, applications are mapped to several dedicated electronic control units (ECUs), and hence, as new functions are added, compute weight and cost increase considerably.%ECU consolidation, where multiple functions are combined on fewer ECUs is an important...
In this paper, we investigated the deep learning model for object classification. Robust classification networks were trained based on Deep Belief Networks (DBN) combined with several object representations included image pixel value, feature histogram by Histogram of Oriented Gradients (HOG) operator and eigen-features to distinguish four categories: pedestrian, biker, vehicle and others in the real...
In this paper, we present the architecture of the reconfigurable mission management system for micro UAVs. The system consists of two subsystems: the onboard system and the ground control station. They all base on the modular framework. All modules are independent to each other. The entire system can reconfigure depending on the requirements of different missions. The method of multi-thread is introduced...
The current technological trend in car navigation systems is the use of a Display Audio device connected to a smart phone. However, driver distraction, the differing life cycle between the Display Audio and the smart phone used, and other problematic issues exist. In this study, we discuss the current on-vehicle information devices, and propose a new architecture for an on-vehicle information system...
In order to recognize multi-class vehicles, traditional methods are typically based on license plates and frontal images of vehicles. These methods rely heavily on specific datasets and thus are not applicable in real-world tasks. In this paper, we propose a novel method based on a hierarchical model, HMAX, which simulates visual architecture of primates for object recognition. It can extract features...
Autonomous Underwater Vehicle (AUV) has turned to be an effective mean for scientific, industrial and naval applications. The focus of research of AUV is gradually moving towards multiple autonomous underwater vehicles (MAUV) in recent years. This paper describes an investigation into cooperative control of MAUV. Firstly, a distributed control architecture (MOOS) was applied to MAUV system. According...
A current trend in marine robotics consists of performance evaluation of Unmanned Marine Vehicles (UMVs) guidance systems. This paper contributes to this by defining and testing performance indices and metrics to quantitatively measure and compare path-following performance. It focuses on the definition of a new criterion for evaluating the capability of an Unmanned Surface Vehicle (USV) to follow...
Short term motion planners for automated vehicles typically require a reference path as input to optimize the ride quality between distinct vehicle states. This paper presents a novel approach to simplify the generation of such reference paths. It is based on the idea of converting the driving route and all relevant objects from the current vehicle's environment into a road-aligned coordinate system...
Vehicular Ad Hoc Networks (VANETs) have in recent years been viewed as one of the enabling technologies to provide a wide variety of services, such as vehicle road safety, enhanced traffic and travel efficiency, and convenience and comfort for passengers and drivers. However, current VANET architectures lack in flexibility and make the deployment of services/protocols in large-scale a hard task. In...
The technologies in the automotive industry are becoming smarter and more advanced than before. Complexity of vehicle electronics is becoming a greater issue and often caused by more interfaces, more connections, more displays, more user demand features and more suppliers. This means there is a great need to supply system updates to ensure higher quality and improve functionality. This paper introduces...
We present a general architecture for intelligent vehicles, especially collaborative driving applications. Intelligent vehicles are similar to communication networks as both types of systems interact with physical world using devices that are rapidly evolving, while intelligent vehicles are more complicated than communication network because they interact with the physical world in not only, one but...
In this paper, we propose a novel planning framework that can greatly improve the level of intelligence and driving quality of autonomous vehicles. A reference planning layer first generates kinematically and dynamically feasible paths assuming no obstacles on the road, then a behavioral planning layer takes static and dynamic obstacles into account. Instead of directly commanding a desired trajectory,...
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.