Robust Route Prediction in Raster Maps - Real Time Topography for Look-Ahead Control
(2016) In LU-CS-EX 2016-07 EDA920 20152Department of Computer Science
- Abstract
- By adapting gear changes and cruise control of a Heavy Duty Vehicle (HDV) to road inclination, fuel and time savings can be achieved. In this thesis is presented a novel method of predicting the upcoming road topography, by constructing a geographical and topographical self-learning map from which a route prediction is made. The system is designed to simultaneously produce the desired road grade output in real time and update the map each time an area is driven through, making the map more accurate as more data is collected. Special considerations are given to the memory and processing constraints of embedded automotive control hardware.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8870829
- author
- Fabian, Sebastian LU
- supervisor
- organization
- alternative title
- Robust ruttprediktion i rasterkartor - Topografi för framkopplad reglering i realtid
- course
- EDA920 20152
- year
- 2016
- type
- H3 - Professional qualifications (4 Years - )
- subject
- keywords
- raster map, route prediction, data structure, embedded, automotive, heat map, GIS, topography
- publication/series
- LU-CS-EX 2016-07
- report number
- LU-CS-EX 2016-07
- ISSN
- 1650-2884
- language
- English
- id
- 8870829
- date added to LUP
- 2016-04-08 14:46:00
- date last changed
- 2016-04-08 14:46:00
@misc{8870829, abstract = {{By adapting gear changes and cruise control of a Heavy Duty Vehicle (HDV) to road inclination, fuel and time savings can be achieved. In this thesis is presented a novel method of predicting the upcoming road topography, by constructing a geographical and topographical self-learning map from which a route prediction is made. The system is designed to simultaneously produce the desired road grade output in real time and update the map each time an area is driven through, making the map more accurate as more data is collected. Special considerations are given to the memory and processing constraints of embedded automotive control hardware.}}, author = {{Fabian, Sebastian}}, issn = {{1650-2884}}, language = {{eng}}, note = {{Student Paper}}, series = {{LU-CS-EX 2016-07}}, title = {{Robust Route Prediction in Raster Maps - Real Time Topography for Look-Ahead Control}}, year = {{2016}}, }