Road Slope Information from GPS-Derived Trajectory Data
Publication: Journal of Surveying Engineering
Volume 125, Issue 2
Abstract
The World Solar Challenge was held in 1996, and will be held again in 1999. As part of the University of New South Wales solar car project, global positioning system techniques were used to determine the road slope characteristics of the Stuart Highway running north-south from Darwin to Adelaide. This data formed the basis of a geographic information system to support solar car race strategy. Motivated by this project, a new Kalman filter algorithm for road slope determination has been developed. The state vector in the Kalman filter includes the height and slope of the road, rather than the conventional parameters of height and vertical velocity. In this way the slope can be derived directly within the Kalman filter, the system equations can be more easily developed and the system noise can be significantly reduced. Numerical results confirm that the new Kalman filter algorithm can be easily implemented, and that the accuracy of road slope determination is improved. This algorithm is appropriate for any survey application concerned with the determination of vertical profile.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Wong, K. et al. ( 1996). “GPS in support of the 1996 World Solar Challenge (Part 2).” The Australian Surveyor, 41(4), 269–277.
2.
Wong, K., and Rizos, C. ( 1996). “Surveying the Stuart Highway with GPS for the 1996 World Solar Challenge (Part 1).” The Australian Surveyor, 41(3), 194–203.
Information & Authors
Information
Published In
History
Published online: May 1, 1999
Published in print: May 1999
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.