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Vehicle to Vehicle (V2V) communication systems enable vehicles to communicate with each other and use the shared information to make safety related decisions. However, the safety improvement of the current V2V systems only benefits V2V-enabled objects in the V2V network. The Pedestrian Automatic Emergency Braking System (PAEB) can utilize onboard sensors to detect pedestrians and make safety related...
Cloud computing is gaining more and more popularity due to the wide use of the Internet. It can now be integrated into vehicle applications to enhance mobility, preventing accidents, improve safety, and improve driving comfort. In this paper, we propose a secure architecture of inter-vehicle communication which is obtained from a cloud services, including architecture level, communication level and...
In the past decade, improvements in the production of in-expensive PC equipment and software has permitted more refined real-time signal processing in BCI systems. In the literature, Deep learning concepts have not been applied to EEG data analysis in a systematic manner. This paper applies various existing Deep learning architectures and algorithms for the classification of EEG data applied to eye...
Cyber-Physical System (CPS, shortly) is a fusion systems of computing and physical processes. It is a highly integration of computation, communication and control in the framework of networked embedded system. In this paper, we analyze the concept and feature of CPS and propose a graphical hierarchical architecture for CPS. It is a graphic network structure within the same layer and a hierarchical...
Advanced approaches to intelligent, real-time decision making are difficult to test for multi-agent systems. Specifically, the expense and logistics of fielding multiple unmanned underwater vehicles in an open ocean environment are significant challenges in marine autonomy. Traditionally, algorithms may be developed and tested under ideal conditions with tools that do not accurately reflect real-time...
The trends are reviewed in the development of unmanned transport systems. There is highlighted an increasingly important part of various range vision/location systems. There is described an architecture of the on-board computer network supplying information to the control systems of the mobile vehicles with the enhanced level of independence and totally unmanned. The proposed architecture provides...
For many cyber-physical systems, there is a strong trend towards open systems, which can be extended during operation by instantly adding functionalities on demand. We discuss this trend in the context of automotive and medical systems. The goal of this paper is to elaborate the research challenges of new platforms for such open systems. A main problem is that such CPS apps shall be able to access...
Big cities have to deal with the movement of thousands of vehicles that traverse through their streets every day. As traffic demand increase undesirable problems emerge including traffic congestion, which is becoming more serious day after day. Traffic congestion is an inherently difficult concept resulting to incrementally higher delays, pollution emissions, fuel waste and non-predictable traveling...
In recent times, big data has become a popular research topic and brought about a range of new challenges that must be tackled to support many commercial and research demands. The transport arena is one example that has much to benefit from big data capabilities in allowing to process voluminous amounts of data that is created in real time and in vast quantities. Tackling these big data issues requires...
Many traffic accidents occur due to the driver's low vigilance and drowsiness, which causes huge economic losses and human life casualty. In this paper we propose a novel real-time service architecture for detecting driver's state and ensuring driving safety. Some automatic state detection services are also given inside the system architecture.
Safe Autonomous Vehicles (AVs) will emerge when comprehensive perception systems will be successfully integrated into vehicles. Advanced perception algorithms based on occupancy grids were developed for AV prototypes. These algorithms estimate the position and speed of every obstacle in the environment by using data fusion from multiple sensors. Computational requirements of such fusion prevent their...
Current transportation infrastructures are not designed to handle unexpected and undesired events or disasters. Emergency Vehicles (EV) such as ambulances, malfunctioning or broken cars, and accidents may appear at any time at any spot in the traffic. Less likely but not inevitably, there might be fires, terrorist attacks, earthquakes which will cause panic behaviour and unexpected traffic congestion...
In this paper, we consider scenarios, requirements, and architectures for future connected vehicles. Regarding scenarios, we discuss new features like autonomous driving, which have very strong requirements on sensor data fusion, real-time processing, and the complexity of the decision making process. We also address a major trend in automotive architectures, which is the aggregation of computing...
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...
Over the past decade, a lot of researches have been done on the development of advanced driver assistance systems (ADAS). Most of these ADAS are now active and need to be tested and evaluated before large deployment. In these ADAS, the prototyping and the implementation of the control stages are risky stages and not so easy to carry out. Indeed, the prototyping and the test of such reactive algorithms...
Due to the increasing complexity of the system of systems within the aero-auto domains, architecture modelling and analysis is becoming progressively more important to systems engineering design. The drive from both domains is for more functionality and efficiency from vehicles. The resultant effect on system development means the complexity of the designs has increased and thus the complexity of...
Need for sophisticated automotive electronics is increasing as per the customers demand for luxury, comfort and safety grows. In addition to this computational power of the microcontrollers, FPGAs and processors have also reached new heights forcing vehicle OEMs (Original Equipment Manufacturers) to modify their conventional vehicle networking architecture to handle large amount of data's. This paper...
Automated guided vehicles (AGVs) are increasingly being used in industrial facilities to improve efficiency of internal transportation processes. In this work, we have analyzed what are the requirements for AGV systems and made a correspondence to our controller architecture, which relies on multi-agent systems. We show that, by using our agent-based model, it is possible to rapidly deploy AGV system...
Nowadays, the insertion of Intelligent Transportation System (ITS) in the society is a fact, due to a big number of projects, demonstrations and researches that have been carried out around the world. The Cybernetic Transportation Systems (CTS) are part of the ITS, and these have especial attention thanks to its versatility, adaptability and clean energy characteristics. This paper aims to describe...
Reactive, multi-agent systems are used in a variety of complex tasks where the interactions are so complex that only imprecise description can be given from the beginning of the development. However, when decision times are important, several new aspects must be taken into consideration. This paper analyzes some of the problems arising in an implementation of Real Time multiagent systems by treating...
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