Synthesis of provably correct controllers for autonomous vehicles in urban environments

This paper considers automatic synthesis of provably correct controllers for autonomous vehicles operating in an urban environment populated with static obstacles and live traffic. We express traffic rules such as collision avoidance, vehicle separation, speed limit, lane following, passing, merging...

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Bibliographic Details
Main Authors: Wongpiromsarn, Tichakorn (Author), Karaman, Sertac (Contributor), Frazzoli, Emilio (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2013-10-21T17:33:25Z.
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Online Access:Get fulltext
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100 1 0 |a Wongpiromsarn, Tichakorn  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems  |e contributor 
100 1 0 |a Karaman, Sertac  |e contributor 
100 1 0 |a Frazzoli, Emilio  |e contributor 
700 1 0 |a Karaman, Sertac  |e author 
700 1 0 |a Frazzoli, Emilio  |e author 
245 0 0 |a Synthesis of provably correct controllers for autonomous vehicles in urban environments 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2013-10-21T17:33:25Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/81461 
520 |a This paper considers automatic synthesis of provably correct controllers for autonomous vehicles operating in an urban environment populated with static obstacles and live traffic. We express traffic rules such as collision avoidance, vehicle separation, speed limit, lane following, passing, merging and intersection precedence requirements in a formal specification language. Embedded control software synthesis is then applied to generate a controller that ensures that the vehicle obeys this set of traffic rules in any road and traffic conditions that satisfy certain assumptions. 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)