World modeling for cooperative intelligent vehicles
- 1 June 2008
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1050-1055
- https://doi.org/10.1109/ivs.2008.4621272
Abstract
Cooperative intelligent vehicle systems constitute a promising way to improving traffic throughput, safety and comfort. The state-of-the-art intelligent-vehicle applications usually can be described as a collection of interacting, highly autonomous, complex dynamical systems (the individual vehicles). The vehicles implement onboard a wide spectrum of (possibly cooperative) functionalities (applications). In order for an application ldquoto do the right thingrdquo it should have a formal representation and understanding of the relevant surrounding world to implement the proper (e.g. efficient, safe) behavior. In the proposed approach, developed for the SAFESPOT Integrated Project, the Local Dynamic Map (LDM) forms a key element of the onboard system responsible for representing and maintaining a real-time world model. From the applicationspsila point of view, the LDM is the model of the world as known by the vehicle: it contains objects characterized by attributes, uncertainties and relevant relationships between objects. The world model in the LDM is created based on high resolution digital maps, sensory inputs and communication. The LDM implements an abstraction layer between the data interpretation and the higher level behavioral functions. The paper describes the motivation behind the LDM based system decomposition approach, introduces the basic concepts of the world modeling dedicated to cooperative vehicle systems and summarizes the main features of a prototype implementation. The consequences of the LDM based system architecture on application development and testing are also presented.Keywords
This publication has 10 references indexed in Scilit:
- Coordinated Maneuvering of Automated Vehicles in PlatoonsIEEE Transactions on Intelligent Transportation Systems, 2006
- IVS 05: new developments and research trends for intelligent vehiclesIEEE Intelligent Systems, 2005
- A decentralized approach to collaborative driving coordinationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Cooperative driving and lane changing at blind crossingsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A runtime framework for system safetyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Multiagent hybrid system design using game theory and optimal controlPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Control design of an automated highway systemProceedings of the IEEE, 2000
- Visual perception of obstacles and vehicles for platooningIEEE Transactions on Intelligent Transportation Systems, 2000
- Verified hybrid controllers for automated vehiclesIEEE Transactions on Automatic Control, 1998
- Smart cars on smart roads: problems of controlIEEE Transactions on Automatic Control, 1993