The sensor selection problem for bounded uncertainty sensing models

@misc{citeulike:896630, abstract = {We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be interpreted as polygonal, convex subsets of the plane. This model applies to a large class of sensors including cameras. We present an approximation algorithm which guarantees that the resulting error in estimation is within a factor 2 of the least possible error. In establishing this result, we formally prove that a...}, author = {Isler, V. and Bajcsy, R. }, citeulike-article-id = {896630}, keywords = {estimation, event, selection, sensor}, posted-at = {2006-10-14 16:26:03}, priority = {5}, title = {The sensor selection problem for bounded uncertainty sensing models}, url = {http://citeseer.ist.psu.edu/isler05sensor.html}, year = {2005} }

TY - GEN ID - citeulike:896630 L3 - citeulike-article-id:896630 N2 - We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be interpreted as polygonal, convex subsets of the plane. This model applies to a large class of sensors including cameras. We present an approximation algorithm which guarantees that the resulting error in estimation is within a factor 2 of the least possible error. In establishing this result, we formally prove that a... TI - The sensor selection problem for bounded uncertainty sensing models KW - estimation KW - event KW - selection KW - sensor AU - Isler, V AU - Bajcsy, R PY - 2005/// UR - http://citeseer.ist.psu.edu/isler05sensor.html ER -