NDLI: Pose determination from airborne LiDAR data and onboard image for future driver assistance systems

Content Provider	IEEE Xplore Digital Library
Author	Hui-Ying Li Zhi Wang Gang Su Sheng-Bo Chen
Copyright Year	2011
Description	Author affiliation: College of Computer Science and Technology, Jilin University, Changchun, China, 130012 (Hui-Ying Li; Gang Su) \|\| College of Geoexploration Science and Technology, Jilin University, Changchun China, 130012 (Sheng-Bo Chen) \|\| College of Resources and Civil Engineering, Northeastern University, Shenyang, China, 110004 (Zhi Wang)
Abstract	Driver assistance system is currently an active research and development field for the general goal to provide useful information to drivers in order to reduce the number of injuries and fatalities in traffic. One important component of future systems will be an accurate and reliable positioning, which can be realized by relative measurement, using onboard sensors and maps of the environment. This paper explores the use of dense laser scan data from airborne LiDAR scanning systems for the production of such 3D navigation maps, extracting features from airborne LiDAR data and onboard image data, so as to simultaneous matching and positioning based on overlapping the LiDAR data and onboard images. In order to get the accuracy position, we propose vPOSRIT (vehicle Pose from Orthography and Scaling with Registrations and ITerations) algorithm to determine pose in the establishing correspondence which register 3D architecture features from building models and the real-time images obtained from onboard camera automatically.
Starting Page	3374
Ending Page	3377
File Size	735632
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Buildings Laser radar Vehicles Three dimensional displays Cameras Computational modeling pose determination Airborne LiDAR features extraction building maps
Content Type	Text
Resource Type	Article

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