Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2135-2139.
Abstract
Different methodologies have been employed to solve the multi-sensor multi-target detection prob-lem in a variety of scenarios. In this paper, we de-vise a time-step optimal algorithm for this problem when all but a few parameters of the sensor/target system are unknown. Using the concept of cover-ing graph, we find an optimum solution for a single sensor, which is extended to multiple sensors by a tagging operation. Both covering graph and tagging are novel concepts, developed in the context of the detection problem for the first time, and bring a mathematical elegance to its solution. Furthermore, an implementation of the resulting algorithm is found to perform better than other notable ap-proaches. The strong theoretical foundation, com-bined with the practical efficacy of the algorithm, makes it a very attractive solution to the problem.
@inproceedings{ijcai2007p344,
title = {Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph},
author = {Kumar, Ganesh P. and Krishna, K. Madhava},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2135--2139},
year = {2007},
url = {https://ijcai.org/proceedings/2007/344},
}
TY - CPAPER TI - Optimal Multi-Sensor Based Multi Target Detection by Moving Sensors to the Maximal Clique in a Covering Graph AU - Kumar, Ganesh P. AU - Krishna, K. Madhava T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2135 EP - 2139 UR - https://ijcai.org/proceedings/2007/344 ER -Copied
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