Patent №
US 7,460,976
Granted
2008-12-02
Filed 2004
Owner
BOARD OF TRUSTEES OF THE LELAND STANFORD JR. UNIVERSITY, THE
AI components
5
ml · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10864836
The present invention uses a Semidefinite Programming (SDP) relaxation based method for the position estimation problem in sensor networks wherein the original problem is converted into a convex optimization problem. Estimation errors can be calculated, such that the quality of the solution to the initial problem is known. The sensor network may be divided into clusters such that the position estimation problem and the computation work can be distributed. The distributed scheme is highly scalable. A network with thousands of sensors may be solved within several minutes.
AI classification
Ownership
BOARD OF TRUSTEES OF THE LELAND STANFORD JR. UNIVERSITY, THE
assignment · 154670306
Assignors
YE, YINYU, BISWAS, PRATIK
On an employer assignment, the assignors are typically the inventors.