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Content Provider | IEEE Xplore Digital Library |
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Author | Della Penna, G. Intrigila, B. Magazzeni, D. Mercorio, F. |
Copyright Year | 2010 |
Abstract | Autonomous vehicles are often complex systems that work in a partially unknown environment, with narrow energy/time/movement constraints. Formal models for such vehicles usually involve hybrid systems with nonlinear dynamics, which are difficult to handle by most of the current planning algorithms and tools. Therefore, when offline planning of the vehicle activities is required, for example for rovers that operate without a continuous Earth supervision, such planning is often performed on simplified models that are not completely realistic. In this paper we show how a model checking based tool, namely UPMurphi, can be used to generate optimal plans to control the engine of an autonomous planetary vehicle, working directly on its hybrid model, and thus achieving very accurate results. |
Starting Page | 131 |
Ending Page | 136 |
File Size | 1792878 |
Page Count | 6 |
File Format | |
ISBN | 9781424459155 |
e-ISBN | 9781424459162 |
DOI | 10.1109/ICAS.2010.26 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-03-07 |
Publisher Place | Mexico |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Nonlinear equations Batteries Mobile robots Vehicle dynamics Engines Remotely operated vehicles Earth planning hybrid systems Road vehicles autonomous vehicle Land vehicles Time factors |
Content Type | Text |
Resource Type | Article |
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