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Navigation Functionalities for an Autonomous UAV Helicopter

Navigation Functionalities for an Autonomous UAV Helicopter

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Chapter 5<br />

Sensor fusion <strong>for</strong> vision<br />

based l<strong>an</strong>ding<br />

This chapter describes the sensor fusion approach applied to a vision based<br />

l<strong>an</strong>ding capability described in Paper III.<br />

The vision based autonomous l<strong>an</strong>ding mode developed during the WITAS<br />

Project has been tested on the RMAX helicopter. It allows the helicopter<br />

to successfully complete a l<strong>an</strong>ding m<strong>an</strong>euver autonomously from <strong>an</strong> altitude<br />

of about 20 meters using only a single camera <strong>an</strong>d inertial sensors<br />

(GPS is not used). An artificial l<strong>an</strong>ding pattern has been designed <strong>an</strong>d it<br />

is placed on the ground during the l<strong>an</strong>ding m<strong>an</strong>euver. An on-board video<br />

camera, mounted on a p<strong>an</strong>-tilt mech<strong>an</strong>ism, locks on the pattern while <strong>an</strong><br />

image processing algorithm computes the relative position of the on-board<br />

camera <strong>an</strong>d the pattern. This position is then used in the sensor fusion<br />

filter described in this chapter in order to provide reliable helicopter state<br />

<strong>for</strong> the autonomous l<strong>an</strong>ding. During the l<strong>an</strong>ding phase a p<strong>an</strong>-tilt controller<br />

tracks the pattern keeping it in the middle of the image. This feature increases<br />

the robustness of the l<strong>an</strong>ding approach described here, minimizing<br />

the possibility of loosing the pattern from the camera view due to accidental,<br />

abrupt helicopter movements.<br />

Vision based autonomous l<strong>an</strong>ding is a complex problem <strong>an</strong>d it requires<br />

57

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