Carefree Maneuvering Using Neural Networks



Carefree Maneuvering using Adaptive Neural Nets
Yavrucuk, İlkay (2002-08-08)
Slow moving target detection for airborne radar systems by dynamic programming on SAR images
Gurer, Gorkem; Koc, Sencer; Candan, Çağatay; Orguner, Umut (2019-04-01)
A dynamic programming based approach is proposed to detect slow moving, low reflectivity targets for airborne radar systems. The suggested method utilizes the reflectivity amplitudes of the SAR image, possibly containing multiple slow moving targets, and poses the target detection problem as a maximum likelihood sequence detection problem. Dynamic programming is applied to capture the target related features such as along track smeared target signatures in the SAR image to this aim. Typical clutter and targ...
Energy efficient control of planar monopedal running through tunable damping
Seçer, Görkem; Saranlı, Uluç (null; 2016-07-07)
Stochastic dynamic programming based resource allocation for multi target tracking for electronically steered antenna radar /
Uzun, Çağlar; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2015)
In this work, the concept of sensor management is introduced and stochastic dynamic programming based resource allocation approach is proposed to track multiple targets. The core of this approach is to use Lagrange relaxation for decreasing the state space dimension. By this approximation, the overall problem is separated into components instead of using joint Markov model to optimize large scale stochastic control problem. The aim of this study is to adaptively allocate radar resources in an optimal way in...
Multiellipsoidal extended target tracking with known extent using sequential Monte Carlo framework
Kara, Suleyman Fatih; Özkan, Emre (The Scientific and Technological Research Council of Turkey, 2019-01-01)
In this paper, we consider a variant of the extended target tracking (ETT) problem, namely the multiellipsoidal ETT problem. In multiellipsoidal ETT, target extent is represented by multiple ellipses, which correspond to the origin of the measurements on the target surface. The problem involves estimating the target's kinematic state and solving the association problem between the measurements and the ellipses. We cast the problem in a sequential Monte Carlo (SMC) framework and investigate different margina...
Citation Formats
İ. Yavrucuk, “Carefree Maneuvering Using Neural Networks,” 2002, Accessed: 00, 2021. [Online]. Available: