Real-Time Decision Making for Autonomous City Vehicles | Zendy

Andrei Furda | Zendy; Ljubo Vlacic | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Real-Time Decision Making for Autonomous City Vehicles

Author(s) -

Andrei Furda,

Ljubo Vlacic

Publication year - 2010

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.2010.p0694

Subject(s) - architecture , computer science , decision making , process (computing) , control (management) , state (computer science) , decision making models , decision process , operations research , artificial intelligence , engineering , management science , operations management , algorithm , purchasing , operating system , art , visual arts

This paper addresses the topic of real-time decision making by autonomous city vehicles. Beginning with an overview of the state of research, the paper presents the vehicle decision making & control systemarchitecture, explains the subcomponents which are relevant for decision making (World Model and Driving Maneuver subsystem), and presents the decision making process. Experimental test results confirmthe suitability of the developed approach to deal with the complex real-world urban traffic.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research