Báo Cáo Báo cáo hóa học Journal on Applied Signal Processing 2003 8, 748–756 c 2003 Hindawi Publishing

EURASIP Journal on Applied Signal Processing 2003:8, 748–756 c 2003 Hindawi Publishing Corporation Evolutionary Computation for Sensor Planning: The Task Distribution Plan Enrique Dunn Departamento de Electr´nica y Telecomunicaciones, Divisi´n de F´sica Aplicada, Centro de Investigaci´n Cient´fica y o o ı o ı de Educaci´n Superior de Ensenada, 22860 Ensenada, BC, Mexico o Email: <a class="__cf_email__" href="http://www.cloudflare.com/email-protection" data-cfemail="c7a2a3b2a9a987a4aea4a2b4a2e9aabf">[email protected]<script type="text/javascript">
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Gustavo Olague Departamento de Ciencias de la Computaci´n, Divisi´n de F´sica Aplicada, Centro de Investigaci´n Cient´fica y o o ı o ı de Educaci´n Superior de Ensenada, 22860 Ensenada, BC, Mexico o Email: <a class="__cf_email__" href="http://www.cloudflare.com/email-protection" data-cfemail="06696a6761736346656f65637563286b7e">[email protected]<script type="text/javascript">
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Received 29 June 2002 and in revised form 29 November 2002 Autonomous sensor planning is a problem of interest to scientists in the fields of computer vision, robotics, and photogrammetry. In automated visual tasks, a sensing planner must make complex and critical decisions involving sensor placement and the sensing task specification.