Objective
Current digital map databases have been defined and developed within European R&D projects for vehicle navigation systems, one of the most successful telematics market. The Geographic Data Files (GDF) standard, major output of EC projects, has been an essential precondition for the production of digital map databases. NextMAP is a research project to define, prototype, and evaluate the content of digital map databases required for another family of ITS applications, namely Advanced Driver Assistance Systems (ADAS). ADAS applications include for example adaptive cruise control, adaptive headlight control, optimised engine control and fuel consumption and are now being introduced in vehicles.
Objectives:
NextMAP is a research project to evaluate the technical and economic feasibility of enhanced map databases required for telematics applications, in particular Advanced Driver Assistance Systems (ADAS), in order to improve or extend these systems. Key objectives of NextMAP are to:
.identify new map database requirements on the basis of functional requirements for anticipated ADAS applications, but also other potential telematics applications;
.test and evaluate the technical and economical feasibility of these new maps;
.formulate the map database requirements as extensions to the GDF standard and formulate cost consequences involved when adding the requirements on existing map databases.
Consequences will be formulated in relation to the creation costs of a standard database.
Work description:
NextMAP partners include the two major European map providers and five car manufacturers. A close co-operation and partnership between these two industries will be the key to the success of this project. On the one hand, car manufacturers will set the requirements needed for their applications that may have an impact on digital map taking into account a mid- to long-term time-frame (e.g. ten years). On the other hand, map providers will bring their expertise in evaluating these requirements and their feasibility with respect to data capturing and data production techniques, as well as the respective cost impact on their future business.
Key activities in the NextMAP project will be:
.to determine preliminary functional requirements for anticipated ADAS applications and enhanced map database requirements, and to establish a roadmap indicating which information components are required, with what accuracy, when, and for what type of applications;
.to identify the source of this extended data and determine the viability of new data capturing techniques;
.to define and set-up five test sites.
For two sites in Stuttgart (DaimlerChrysler) and Coventry (Jaguar) enhanced maps will be digitised and made available to the car manufacturers. Two other test sites in Paris (Renault) and in Turin (C.R.F.) will use the IN-ARTE project map data, which will be converted into the NextMAP format. Finally a test site in Munich will be defined and built by BMW without project resources;
.to prepare five test vehicles (one per car manufacturer) with the hardware and software necessary to run selected test applications.
The project will then perform the tests in order to evaluate and investigate new data capturing techniques, and produce the enhanced map data. This will finally result in a possible overall technical and economical assessment of enhanced map databases. The requirements definition, map digitisation and testing phases will be iterative in order to fine-tune ADAS requirements and to reflect economic viability. Beside liaison and dissemination activities, NextMAP will develop and propose an extension to GDF. This will be given as input to the ISO standardisation at the end of the project.
Milestones:
Preliminary requirements for enhanced map database available in the first half of 2000. Classification of data capturing techniques. Five test vehicles for first tests on each test sites. Evaluation plan ready for the tests. Two test map databases and IN-ARTE map data prepared to be used in the tests. Final requirements for enhanced map databases and final evaluation results with overall technical and economical assessment. Extension to GDF submitted to the ISO standardisation (ISO TC204/SWG3.3).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences databases
- engineering and technology environmental engineering energy and fuels
- social sciences social geography transport navigation systems
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Coordinator
1050 BRUSSEL
Belgium
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