TY - GEN
T1 - Toward geometric decision making in unstructured environments
AU - Hager, Gregory D.
PY - 1992/1/1
Y1 - 1992/1/1
N2 - This paper presents an approach to sensor-based decision making in unstructured environments that relies on describing geometric structures by parameterized volumes. This approach leads to large systems of nonlinear, stochastic inequalities. We describe how these inequalities can be solved using interval bisection, discuss the structural and statistical convergence of the technique, and present some preliminary experimental results.
AB - This paper presents an approach to sensor-based decision making in unstructured environments that relies on describing geometric structures by parameterized volumes. This approach leads to large systems of nonlinear, stochastic inequalities. We describe how these inequalities can be solved using interval bisection, discuss the structural and statistical convergence of the technique, and present some preliminary experimental results.
UR - http://www.scopus.com/inward/record.url?scp=0026691136&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026691136&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026691136
SN - 0819407488
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 108
EP - 118
BT - Proceedings of SPIE - The International Society for Optical Engineering
PB - Publ by Int Soc for Optical Engineering
T2 - Sensor Fusion IV: Control Paradigms and Data Structures
Y2 - 12 November 1991 through 15 November 1991
ER -