Monotonicity-Based Symbolic Control for Safety in Real Driving Scenarios
Stanley Smith and Adnane Saoud and Murat Arcak
EECS Department, University of California, Berkeley
Technical Report No. UCB/EECS-2021-5
March 4, 2021
http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-5.pdf
In this letter we use a monotonicity-based approach to design a safety controller in two realistic driving situations: a vehicle-following scenario and an unprotected left turn scenario. For each scenario we construct a symbolic abstraction of the system and efficiently synthesize a safety controller by exploiting the monotonicity property of the dynamics. In the vehicle-following scenario, we show how monotonicity-based reasoning can be used to handle model uncertainty; in the unprotected left turn scenario, we show how such reasoning can be applied to efficiently deal with the complex scenario of two oncoming vehicles.
BibTeX citation:
@techreport{Smith:EECS-2021-5, Author= {Smith, Stanley and Saoud, Adnane and Arcak, Murat}, Title= {Monotonicity-Based Symbolic Control for Safety in Real Driving Scenarios}, Year= {2021}, Month= {Mar}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-5.html}, Number= {UCB/EECS-2021-5}, Abstract= {In this letter we use a monotonicity-based approach to design a safety controller in two realistic driving situations: a vehicle-following scenario and an unprotected left turn scenario. For each scenario we construct a symbolic abstraction of the system and efficiently synthesize a safety controller by exploiting the monotonicity property of the dynamics. In the vehicle-following scenario, we show how monotonicity-based reasoning can be used to handle model uncertainty; in the unprotected left turn scenario, we show how such reasoning can be applied to efficiently deal with the complex scenario of two oncoming vehicles.}, }
EndNote citation:
%0 Report %A Smith, Stanley %A Saoud, Adnane %A Arcak, Murat %T Monotonicity-Based Symbolic Control for Safety in Real Driving Scenarios %I EECS Department, University of California, Berkeley %D 2021 %8 March 4 %@ UCB/EECS-2021-5 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2021/EECS-2021-5.html %F Smith:EECS-2021-5