Context aware ontology‐based hybrid intelligent framework for vehicle driver categorization

Driver Behavior Modeling Using Hybrid Dynamic Systems for ‘driver-aware’ Active Vehicle Safety

Modern safety systems are transforming vehicles from human-controlled passive devices into human-centric intelligent/ active systems. There is a wide range of systems from fully autonomous vehicles to humanaugmented control devices which have emerged in this field. In current trends, co-operative active systems have the driver in the decision and control processes are favored for their ‘human-c...

A Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents

Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....

Context-Aware Driver Assistance System

In the last few years, significant improvements have been made in the area of vehicular communication systems. In fact, vehicle-to-vehicle communication and vehicle-to-infrastructure are considered a key concept for keeping roads safe. An efficient implementation of these systems is necessary to ensure the safety and to reduce the car collision rates. This paper proposes a Context-Aware Driver ...

A Hybrid Framework for Categorization

Context-Aware Intelligent Environments

In video, we present the AwareKitchen research project. The setting for this project is a kitchen environment. Kitchens are an important part of everyday life. People spend a significant amount of time in them and do a wide spectrum of activities like preparing and eating meals, cleaning, and many social interactions in the families. The kitchen is in many households an important place for meet...