A model for ontology-based scene description for context-aware driver assistance systems
Proceedings of the 1st international conference on Ambient media and systems
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
An adaptive requirement framework for SCUDW are middleware in ubiquitous computing
WSEAS Transactions on Computers
A smart car control model for brake comfort based on car following
IEEE Transactions on Intelligent Transportation Systems
Modeling the ambient intelligence application system: concept, software, data, and network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Ubiquitous and Cooperative Service Framework for Network Robot System
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Mining the semantics of origin-destination flows using taxi traces
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Managing context data for diverse operating spaces
Pervasive and Mobile Computing
iCROSS: toward a scalable infrastructure for cross-domain context management
Personal and Ubiquitous Computing
A formal approach to model the interaction between user and ami environment
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Context-aware HCI service selection
Mobile Information Systems - Advances in Network-Based Information Systems
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Compared with smart spaces addressed previously, the smart vehicle space is quite special. First, unlike room, it is a high mobile space. Second, it requires frequent information exchange with the outer environment; for instance, it may need local traffic information and other local services. The complex vehicle space needs a software infrastructure of high adaptation to meet the complex and easy variational situations. This paper proposes a semantic and adaptive middleware platform, i.e., ScudWare, for smart vehicle space. In ScudWare, techniques of multiagent, context-aware, and adaptive component management are smoothly synthesized. It consists of three key components, namely 1) semantic virtual agents; 2) a semantic context management service; and 3) an adaptive component management service. This enables entities in smart vehicle space to interact autonomously, provides semantic-integration context awareness, and supports component-based adaptability and scalability. A test bed of smart car space is built to evaluate the ScudWare, which demonstrates the effectiveness and efficiency of ScudWare