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Obtacle Avoidance Robot Algorithm.

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Academic year: 2017

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ABSTRACT

Obstacle avoidance is one of the most critical factors in the design of

autonomous vehicles such as mobile robots. One of the major challenges in designing

intelligent vehicles capable of autonomous travel on highways is reliable obstacle

avoidance system. Obstacle avoidance system may be divided into two parts, obstacle

detection (mechanism, hardware, sensors) and avoidance contrail (algorithm, software,

code). Vector field histogram (VHF), vector field histogram with look attead

verification (VHF*) and virtual force field (VFF) are a few methods currently used in

obstacle avoidance algorithm. This project aims to improve the current obstacle

avoidance system using combinational of VHF* and coordination method . The

algorithm is programmed into PIC 16F84A and tested on a prototype. The prototype is

build using infra red sensor with comparator circuit and DC motor. The project has

been tested on several paramete?s; target distance obstacle distance and size of an

obstacle. The result shows that the prototype works at 600/o of successful rate.

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