Optimized sensor placement for dependable roadside infrastructures

We present a multi-stage optimization method for efficient sensor deployment in traffic surveillance scenarios. Based on a genetic optimization scheme, our algorithm places an optimal number of roadside sensors to obtain full road coverage in the presence of obstacles and dynamic occlusions. The efficiency of the procedure is demonstrated for selected, realistic road sections. Our analysis helps to leverage the economic feasibility of distributed infrastructure sensor networks with high perception quality.Comment: 6 pages, 5 figures; IEEE Intelligent transportation systems conference 201

Data Engineering

This paper describes the design of an object-oriented geographic information system called GODOT (Geographic Data Management With Object-Oriented Techniques). GODOT has a four-layer architecture, consisting of (i) a commercial object-oriented database system; (ii) an extensible kernel with classes and methods for representing complex spatial and non-spatial data objects; (iii) a collection of base components for query processing, graphics, database administration, and data exchange; and (iv) several user interface modules. The conceptual basis for the system is a data model with three categories of objects: Thematic objects, geometric objects, and graphic objects. The GODOT approach facilitates the management of complex geographic and environmental information and leads to an extensible system architecture. 1 Introduction Geographic and environmental information systems operate on very complex spatial and non-spatial data structures. Relational databases are of only limited u..

Data Engineering

This paper describes the design of an object-oriented geographic information system called GODOT (Geographic Data Management With Object-Oriented Techniques). GODOT has a four-layer architecture, consisting of (i) a commercial object-oriented database system; (ii) an extensible kernel with classes and methods for representing complex spatial and non-spatial data objects; (iii) a collection of base components for query processing, graphics, database administration, and data exchange; and (iv) several user interface modules. The conceptual basis for the system is a data model with three categories of objects: Thematic objects, geometric objects, and graphic objects. The GODOT approach facilitates the management of complex geographic and environmental information and leads to an extensible system architecture. 1 Introduction Geographic and environmental information systems operate on very complex spatial and non-spatial data structures. Relational databases are of only limited u..