Abstract
ABSTRACT - The transport system, both for people and goods, is one of the key pillars of any modern society. Especially in the last 5 years, road transport became a dominant mode of transport and as a consequence started to experience major problems related to congestion, accidents and pollution. One of the solutions that proved to be efficient in alleviating those problems is the implementation and usage of Intelligent Transport Systems (ITS) defined as telecommunication and IT applications for a more efficient management of the transport process.
In road transport, ITS systems include applications both at road network operators’ level as well as on-board driver assistance systems. For the latter, in order to be efficient and reliable, it is crucial to be capable of providing an accurate representation of the environment around the vehicle and to be always aware of the vehicle relation with that environment in terms of position, speed and heading. Current research has shown that the best way to perform these tasks is to use digital data fusion techniques on the information received from various on-board sensors: radar, laser range finders, video cameras, GPS, acceleration, steering wheel rate of turn etc.
This paper will present a solution for digital signal processing in a driver assistance system based on fusion of digital map data and data taken from GPS, video and radar sensors. The architecture of the system will be considered together with the mathematical support for signal processing as well as the software and hardware requirements.
Keywords: multi-sensor fusion, driver assistance, digital maps, road geometry, intelligent transport systems