Title
Safespot local dynamic maps: Context-dependent view generation of a platform's state & environment
Author
Zott, C.
Yuen, S.Y.
Brown, C.L.
Bartels, C.
Papp, Z.
Netten, B.D.
TNO Industrie en Techniek
IenT
Publication year
2008
Abstract
Increased availability of sensing, communication and computing equipment in modern vehicles presents opportunities for a generational advance in driver assistance and safety functions. However, the growth in the volume and complexity of data also presents challenges for its collection, maintenance and distribution. The SAFESPOT Local Dynamic Map (LDM) contains a structured model of the world. It acts as an interface between sensing modules and the safety applications. It enables applications to extract context-dependent views of the environment and the platform's state. These unique views differ in spatio-temporal scale, as well as the objects, attributes and relationships they contain. The ability to extract various views from a LDM is seen as an important tool in the development of multiple, advanced applications on a single platform.
Subject
Informatics
Industrial Innovation
Context awareness
Cooperative systems
Database
Digital maps
Safety systems
Advanced applications
Co-operative systems
Context dependent
Context- awareness
Digital map
Driver assistance
Safety applications
Spatio-temporal scale
Automobile drivers
Database systems
Security systems
Traffic control
To reference this document use:
http://resolver.tudelft.nl/uuid:e08a374e-6aa9-47fc-ad98-f0c84b866eaa
TNO identifier
474219
ISBN
9781615677566
Source
15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008, 16-20 November 2008, New York, NY, USA, 1-3
Bibliographical note
Sponsors : TransCore
Document type
conference paper