Journal article icon

Journal article

Generation and Exploitation of Local Orthographic Imagery for Road Vehicle Localisation

Abstract:
This paper is about road vehicle localisation based on vision using synthesised local orthographic imagery. We exploit state of the art stereo visual odometry (VO) on our survey vehicle to generate high precision synthetic orthographic images of the road surface as would be seen from overhead. The fidelity and detail of these images far exceeds that of aerial photographs. When undertaking subsequent passes of the same route, the vehicle is localised against the survey vehicle's trajectory by maximising the mutual information between the synthetic orthographic images and live image streams. Thus we explicitly leverage the gross appearance of the workspace rather than a discrete set of point features. We test our technique on data gathered from a road vehicle and show that centimeter-level precision is possible without the complexity and instability of contemporary feature based techniques. © 2012 IEEE.
Publication status:
Published

Actions

Access Document

Publisher copy:
10.1109/IVS.2012.6232165

Authors


Journal:
2012 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) More from this journal
Pages:
590-596
Publication date:
2012-01-01
DOI:


Language:
English
Pubs id:
pubs:350023
UUID:
uuid:12d229e5-1dfb-411f-8377-429007faec50
Local pid:
pubs:350023
Source identifiers:
350023
Deposit date:
2013-11-17
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP