A5028662833- Human-Automation Interaction and Safety
- Transportation and Mobility Innovations
- Autonomous Vehicle Technology and Safety
- Sleep and Work-Related Fatigue
- Context-Aware Activity Recognition Systems
- Traffic and Road Safety
- Vehicle emissions and performance
- Older Adults Driving Studies
- Transportation Planning and Optimization
- Technology Use by Older Adults
- Vehicular Ad Hoc Networks (VANETs)
- Ergonomics and Musculoskeletal Disorders
- Digital Accessibility for Disabilities
- Traffic control and management
- Traffic Prediction and Management Techniques
- Urban Transport and Accessibility
- Assistive Technology in Communication and Mobility
- Risk and Safety Analysis
- Vehicle Dynamics and Control Systems
- Innovative Approaches in Technology and Social Development
- Real-time simulation and control systems
- Safety Systems Engineering in Autonomy
- Advanced Chemical Sensor Technologies
- Usability and User Interface Design
- EEG and Brain-Computer Interfaces
Centre for Research and Technology Hellas
2015-2024
University of Peloponnese
2021
National Technical University of Athens
1994-2018
University of Piraeus
2018
Aristotle University of Thessaloniki
1997-2007
Institute of Communication and Computer Systems
2005
<ns4:p>Cooperative, Connected, and Automated Mobility (CCAM) constitutes a viable solution toward sustainable future mobility in order to achieve the target of decarbonization. Artificial Intelligence (AI) Big Data (BD) have altered several industrial sectors providing novel affordable solutions that facilitate improve existing operations these sectors. Hence, combination CCAM paradigm with AI methodologies based on BD could ever increase potential benefits contemporary society. For this...
Driver sleepiness due to sleep deprivation is a causative factor in 1% 3% of all motor vehicle crashes. In recent studies, the importance developing driver fatigue countermeasure devices has been stressed, order help prevent driving accidents and errors. Although numerous physiological indicators are available describe an individual's level alertness, EEG signal shown be one most predictive reliable, since it direct measure brain activity. present study, multichannel data that were collected...
Explainable Artificial Intelligence (XAI) emerged when researchers attempted to identify methods that would interpret the models are used perform classification and predictions, in order avoid having a black box just informing about result. Methods of XAI crucial determine details model feature contribution towards One these is attributed cooperative game theory especially Shapley values. With this method features considered as players marginal employed. In paper, we take onboard Potential...
Human Monitoring and Authentication using Biodynamic Indicators Behavioural Analysis (HUMABIO) (2007) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state the art sensorial technologies in order to enhance security a wide spectrum applications. The project aims develop modular, robust, multimodal authentication monitoring system which utilizes biodynamic physiological profile, unique for each individual, advancements state-of-the...
Today, GPS (Global Positioning System) devices are no longer an emerging technology, but rather much like the transistor radio and electronic calculator were in 1970s terms of popularity. have been used, being
After the awareness-raising of recent years for coping with global societal, economic and environmental challenges, need sustainable planning in transport sector has become even more evident. Initiatives aiming at promoting innovative mobility solutions, especially urban areas where needs are higher problems intense, have been launched by different organizations around world. In this context, autonomous electric vehicles emerging as a promising solution; however, they accompanied new...
In this paper a multi-sensor collision avoidance system is presented for automotive applications. For obstacle detection and tracking, millimeter wave (MMW) radar far infrared (FIR) camera are chosen in order to provide object lists the sensors' trackers respectively. The algorithm track management, data association, filtering prediction both sensors also presented, focusing on Kalman filtering. Thus, an interacting multiple model (IMM) filter designed coping with all possible modes which...
In the last ten years, European Commission has deeply investigated concern of Powered Two Wheelers (PTW) accidents in roads, trying to focus on improvement road safety through introduction Intelligence Transportation Systems. Several new research projects involving PTWs have been promoted by EC resolve this gap: SAFERIDER aiming enhance rider safety, comfort and, hopefully, reduce fatalities. Four Advanced Riding Assistance Systems (ARAS, or so called literature ADAS, with Driver instead...
In terms of the present paper, clean vehicles vision, operation and necessity are being discussed pointing out need to raise awareness citizens keep them informed about potentials newer technologies vehicle usage. The approach is based on a concise analysis current policies applications, examining number case studies that can be considered as coming close notion "green mobility" treated best practices. By identifying greening mobility necessities, this research concludes proposing framework...
As vehicular automation handles more aspects of the driving task, human drivers are taxed with increasing demands to monitor and handle rare failures. Staying vigilant imposes a high-cognitive workload so is hypothesized pose varying difficulties across population, leading differences in individual susceptibility vigilance decrement. To investigate this, present study proposes use an objective neurometric mental characterize drivers' severity decrement during assisted adaptive cruise...