World modeling for cooperative intelligent vehicles
conference paper
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 "to do the right thing" 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 applications' 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.
Topics
Dynamical systemsIntelligent vehicle highway systemsSoftware prototypingAbstraction layersApplication developmentsComplex dynamical systemsData interpretationsDigital mapsFormal representationsHigh resolutionsKey elementsOnboard systemsPrototype implementationsSensory inputsSystem architecturesSystem decompositionsVehicle applications
TNO Identifier
241304
ISBN
9781424425693
Article nr.
No.: 4621272
Source title
2008 IEEE Intelligent Vehicles Symposium IV, 4-6 June 2008, Eindhoven, The Netherlands
Place of publication
Piscataway, NJ, USA
Pages
1050-1055
Files
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