NDLI: Verifying Collision Avoidance Behaviours for Unmanned Surface Vehicles using Probabilistic Model Checking

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Verifying Collision Avoidance Behaviours for Unmanned Surface Vehicles using Probabilistic Model Checking

Content Provider	Semantic Scholar
Author	Lu, Yu Hua Niu, Hanlin Chai, Senchun Tsourdos, Antonios
Copyright Year	2016
Abstract	Collision avoidance is an essential safety requirement for unmanned surface vehicles (USVs). Normally, its practical verification is non-trivial, due to the stochastic behaviours of both the USVs and the intruders. This paper presents the probabilistic timed automata (PTAs) based formalism for three collision avoidance behaviours of USVs in uncertain dynamic environments, which are associated with the crossing situation in COLREGs. Steering right, acceleration, and deceleration are considered potential evasive manoeuvres. The state-of-theart prism model checker is applied to analyse the underlying models. This work provides a framework and practical application of the probabilistic model checking for decision making in collision avoidance for USVs.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/10982/Verifying_collision_avoidance_behaviours_for_unmanned_surface_vehicles-2016.pdf;jsessionid=3EE0357133CAB89912210ED8979F78E8?sequence=3
Language	English
Access Restriction	Open
Subject Keyword	Automata theory Checking (action) Collision detection Deceleration Decision Making Drug vehicle Model checking PRISM model checker Program test authority Semantics (computer science) Statistical model Timed automaton Truncus Arteriosus, Persistent Unmanned aerial vehicle Verification and validation Verification of Theories Verifying specimen collision
Content Type	Text
Resource Type	Article

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