Vision Based Robot Navigation: Obstacle Avoidance & Road Following Behaviors von Amar, Muhammad, Mahmood ul Hasan, Khalid, Farooq, Umar: New paperback (2013)

Beschreibung

New. SHIPS FROM MULTIPLE LOCATIONS.

Bestandsnummer des Verk�ufers D8S0-3-M-3659321583-6

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Vision Based Robot Navigation: Obstacle Avoidance & Road Following Behaviors
Verlag: LAP LAMBERT Academic Publishing
Erscheinungsjahr: 2013
Sprache: Englisch
ISBN-10: 3659321583
ISBN-13: 9783659321580
Einband: paperback
Zustand: New
Buchtyp: book

�ber diesen Titel

Inhaltsangabe

The aspiration of this research work is to design vision based intelligent mobile robot navigation techniques to capacitate an autonomous robot to navigate in indoor/outdoor environments. The images from mobile robot, accoutered with a camera, are preprocessed and are used for drivable region extraction. A novel weighted matrix algorithm (WMA) is used for drivable region division for, both, constructed and unconstructed scenarios. Hurdle distance, reckoned from ultrasonic sensors information, is used in conjunction with extracted drivable road to generate the motion commands for road following and hurdle avoidance behavior. Navigation controller design has been actualized in MATLAB by exerting fuzzy logic soft computing techniques to engender the sought motion commands. The designed controllers are evaluated in a simulator for assorted hurdle and environment conditions prior to real time implementation on archetype robot.

Rese�a del editor

The aspiration of this research work is to design vision based intelligent mobile robot navigation techniques to capacitate an autonomous robot to navigate in indoor/outdoor environments. The images from mobile robot, accoutered with a camera, are preprocessed and are used for drivable region extraction. A novel weighted matrix algorithm (WMA) is used for drivable region division for, both, constructed and unconstructed scenarios. Hurdle distance, reckoned from ultrasonic sensors information, is used in conjunction with extracted drivable road to generate the motion commands for road following and hurdle avoidance behavior. Navigation controller design has been actualized in MATLAB by exerting fuzzy logic soft computing techniques to engender the sought motion commands. The designed controllers are evaluated in a simulator for assorted hurdle and environment conditions prior to real time implementation on archetype robot.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.