UID:
edoccha_9959145944502883
Format:
1 electronic resource (XII, 165 p. p.)
ISBN:
1000086154
Series Statement:
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Content:
This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.
Note:
English
Additional Edition:
ISBN 3-7315-0854-0
Language:
English
