Marius Vochin

Intelligent System for Vehicle Navigation Assistance

Navigation assistance systems, aiming to improve safety and optimize the traffic, become more and more popular in vehicular technology. The reason is given by the significant traffic increase and congestion events in large cities, complexity of road infrastructure and unexpected or hazardous conditions that can be found on roads. This paper proposes an improvement in navigation systems by intelligently gathering traffic data provided by integrated car sensors and/or security systems and use these data to warn other participants. System concepts, architecture, preliminary design and performance evaluation aspects are presented, and also tasks organization for an embedded cost effective implementation using a real time kernel is illustrated.

Rapid detection of pesticide residues based on telemetry platform

Pesticides are very important in improving agricultural production, but can harm beneficial insect species, soil, air, water, plants and their fruits. The purpose of this paper is to describe a telemetry solution together with a novel generation of immunobiosensors that will be used in order to gather data to a platform for remote monitoring of pesticide residues. The paper is an overview of the techniques and interfaces proposed for rapid detection of pesticide residues. LabVIEW is the preferred solution to create the graphical interface in order to insure the visualization of data. Furthermore, the platform can be applied for tele-monitoring pesticides in an agricultural production by performing a qualitative and quantitative assessment of pesticides. The paper fills a gap in the biosensors domain literature by proposing a solution based on data from immunobiosensors for rapid detection of pesticide through a telemetry platform.

Intelligent Low-Power Displaying and Alerting Infrastructure for Smart Buildings

The paper presents the architecture of an intelligent displaying and alerting system, based on a scalable integrated communication infrastructure. The system is envisioned to offer dynamic display capabilities using the wireless ePaper technology, as well as to enable indoor location-based services such as visitor guidance and alerting through iBeacon-compatible mobile smart devices. The system will include a secure web management console, along with the software interfaces and procedures necessary for collecting and automatically displaying any relevant information and notifications. As the system is designed primarily for educational and research institutions, remote authentication will be allowed through eduroam technology. Tests regarding the performance of the used wireless ePaper Displays are performed, specifically regarding their response times, and recommendations are made based on the results.

Intelligent Displaying and Alerting System Based on an Integrated Communications Infrastructure and Low-Power Technology

The paper proposes an intelligent displaying and alerting system, based on a scalable integrated communication infrastructure. The system is envisioned to offer dynamic display capabilities using the ePaper technology, as well as to enable indoor location-based services such as visitor guidance and alerting using iBeacon-compatible mobile devices. The system will include a central display management console, as well as automated procedures for automatically displaying different types of notifications. The system is designed primarily for educational and research institutions, allowing remote authentication through eduroam-type technology performed by the user’s distant institution of affiliation. As such, secure access based on locally-defined policies will be implemented, as well as multiple levels of access, from guests to system administrators.

Mobile communication application for V2V systems

The increasing number of personal and commercial vehicles in transit induces a high volume of road traffic, which can often lead to serious incidents such as permanent traffic jams, increased gas pollution, accidents with material or even human losses. Technology and transportation infrastructure providers are required to provide safer, more scalable, flexible, and cost effective solutions to these problems. Intelligent Transportation Systems (ITS) have been developed to meet these requests, by offering traffic monitoring, guidance or alerting communication capabilities to or between vehicles, or intelligent infrastructure safety elements. This paper investigates the possibility of using common hardware such as a smart phone to achieve V2V or V2I communication, as a solution to implement offline alerting capabilities in Intelligent System for Vehicle Navigation Assistance (SIAN) research project.

Vehicular mobile data collection platform to support the development of Intelligent Transportation Systems

In the past decade, due to increasingly challenging traffic conditions in large cities, pollution and safety issues, the development of intelligent transportation systems gained a significant interest due to the potential they present for traffic optimization. The current paper describes the MobiWay Integrated Platform for the development of Intelligent Transportation Systems which provides the infrastructure required for creating location-based applications by providing traffic data in real time as an input. In addition to that, this paper presents related work in the field of traffic management solutions and envisions future work in the development of the MobiWay platform.

Lane departure warning system implementation using the Blackfin microcomputer

the purpose of this paper is to evaluate the performance of an embedded lane departure monitoring system implemented using the Blackfin microcomputer. This paper is focused on evaluating the image processing algorithm and the main goal of this work is to propose methods to speed-up the necessary computations. A practical, flexible and low cost solution is proposed and the monitoring system is effective at medium vehicle speeds.

Face Detection in Internet of Things Using Blackfin Microcomputers Family

This paper describes a face detection system based on the Blackfin microcomputer architecture that may be used in an Internet of Things (IoT) context. The face detection algorithm is based on skin detection and scanning binary images to determine the face area. Further image processing may determine the eyes and mouth in order to extract main face characteristics. The face detection algorithm may be used in context of IoT to determine the searching area for eyes and mouth (e.g. for face recognition and emotion detection). The face detection algorithm is implemented using the Visual DSP++ integrated development environment and face detection is achieved in real time.

Sensors Fusion Approach Using UAVs and Body Sensors

Current technological progress allows the implementation of an innovative solution that would aid the work of emergency first responder personnel. However, managing crisis situations is highly dependable on the situational awareness factors. Therefore, this paper proposes a conceptual model of a crisis management platform which integrates several technologies such as UAVs, heat cameras, toxicity sensors, and also body wearable sensors, which are capable of aggregating all the information from the above-mentioned devices. By using the proposed innovative platform, we analyze how a decrease of tragical events within the emergency sites can be achieved.

Intelligent vehicle navigation system with assistance and alerting capabilities

Navigation assistance systems are aiming to improve safety and provide traffic optimization and have become more and more popular in a modern vehicular technology. The reason is given by the significant traffic increase and numerous congestion events in large cities, large complexity of road infrastructure, and unexpected or hazardous conditions that can be found on roads. This paper proposes an innovative navigation system solution that intelligently gathers traffic data provided by integrated car sensors and/or onboard security systems and uses it to warn other participants. System concepts, architecture, design, implementation, and performance evaluation aspects are presented, and tasks organization for an embedded cost‐effective implementation using a real‐time kernel is illustrated.