In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Using this data, e.g. for localization, requires highly accurate maps with a higher level of detail than provided by today's maps. Producing those maps can only be realized economically if the information is obtained fully automatically. It is our goal to investigate the creation of intermediate level maps containing geo-referenced landmarks, which are suitable for the specific purpose of localization. To evaluate this approach, we acquired a dense laser scan of a 22 km scene, using a mobile mapping system. From this scan, we automatically extracted pole-like structures, such as street and traffic lights, which form our pole database. To assess the accuracy, ground truth was obtained for a selected inner-city junction by a terrestrial survey. In order to evaluate the usefulness of this database for localization purposes, we obtained a second scan, using a robotic vehicle equipped with an automotive-grade laser scanner. We extracted poles from this scan as well and employed a local pole matching algorithm to improve the vehicle's position.
Evaluation of automatically extracted landmarks for future driver assistance systems
2010-01-01
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Joint International Conference On Theory, Data Handling And Modelling In Geospatial Information Science] 38 (2010), Nr. Part 2
Article (Journal)
Electronic Resource
English
LIDAR , Mobile Laser scanning , Extraction , Matching , Mapping , Accuracy , Navigation , ddc:550 , Konferenzschrift
Evaluation of automatically extracted landmarks for future driver assistance systems
TIBKAT | 2010
|Future Driver Assistance Systems
British Library Conference Proceedings | 2007
|Driver Assistance Systems - Status and Future Prospects
British Library Conference Proceedings | 2001
|Human shape correspondence with automatically predicted landmarks
British Library Online Contents | 2012
|