State Estimation for Truck and Trailer Systems using Deep Learning
High precision control of a truck and trailer system requires accurate and robust state estimation of the system. This thesis work explores the possibility of estimating the states with high accuracy from sensors solely mounted on the truck. The sensors used are a LIDAR sensor, a rear-view camera an...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Reglerteknik
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148630 |