An Intelligent Navigator for Mobile Vehicles
نویسنده
چکیده
AbstractThis paper presents an intelligent navigation method for navigation of a mobile vehicle in unknown environments. The proposed navigator consists of three modules: Obstacle Avoidor, Environment Evaluator and Navigation Supervisor. The Obstacle Avoidor is a fuzzy controller whose rule base is learnt through reinforcement learning. A new and powerful training method is proposed to construct the fuzzy rules automatically. The Navigation Supervisor determines the tactical requirement of avoiding obstacles or moving towards the goal location at each action step so that the vehicle can achieve its task without colliding with obstacles. The effectiveness of the learning method and the whole navigator are verified by simulation.
منابع مشابه
Learning and adaptation of an intelligent mobile robot navigator operating in unstructured environment based on a novel online Fuzzy-Genetic system
In this paper we present our novel Fuzzy–Genetic techniques for the online learning and adaptation of an intelligent robotic navigator system. Such a system could be used by autonomous mobile vehicles navigating in unstructured and changing environments. In this work we focus on the online learning of the obstacle avoidance behaviour, which is an example of a behaviour that receives delayed rei...
متن کاملVehicular Networks: A Survey on Architecture, Communication Technologies and Applications
The Intelligent Transportation System (ITS) provides wireless and mobile communication between vehicles and infrastructure to improve the safety of transportation and make the journey more enjoyable. This system consists of many fixed and mobile nodes (Vehicles, Trains, Vessels, Air planes), Wireless and Wired Telecommunication Technologies to exchange information between mobile nodes or betwee...
متن کاملA Novel Navigation Method for Autonomous Mobile Vehicles
This paper presents a novel navigation method for Autonomous Mobile Vehicle in unknown environments. The proposed navigator consists of an Obstacle Avoider (OA), a Goal Seeker (GS), a Navigation Supervisor (NS) and an Environment Evaluator (EE). The fuzzy actions inferred by the OA and the GS are weighted by the NS using the local and global environmental information and fused through fuzzy set...
متن کاملDevelopment and Implementation of a Self-Building Global Map for Autonomous Navigation
(ABSTRACT) Students at Virginia Tech have been developing autonomous vehicles for the past five years. The purpose of these vehicles has been primarily for entry in the annual international Intelligent Ground Vehicle Competition (IGVC), however further applications for autonomous vehicles range from UneXploded Ordinance (UXO) detection and removal to planetary exploration. Recently, Virginia Te...
متن کاملIntelligent Traffic Management System for Prioritizing Emergency Vehicles in a Smart City (TECHNICAL NOTE)
Traffic congestion worldwide has led to loss of human lives due to failure in transporting accident victims, critical patients, medical equipment and medicines on time. With the unending growth in vehicular traffic everywhere, Internet of Things (IOT) and Vehicular Ad Hoc Network (VANET) have embarked as a promising platform for an Intelligent Traffic Management System (ITMS). Many researches h...
متن کامل