AIMar 13, 2013
A Fuzzy Logic Approach to Target Tracking
arXiv:1303.5433v13 citations
Originality Incremental advance
AI Analysis
This addresses target tracking for applications like surveillance or robotics, but it appears incremental as it adapts fuzzy logic to a known problem.
The paper tackled target tracking without assuming an explicit dynamic model by developing a nonlinear filter based on fuzzy If-then rules, and empirical results showed it outperformed a Kalman filter.
This paper discusses a target tracking problem in which no dynamic mathematical model is explicitly assumed. A nonlinear filter based on the fuzzy If-then rules is developed. A comparison with a Kalman filter is made, and empirical results show that the performance of the fuzzy filter is better. Intensive simulations suggest that theoretical justification of the empirical results is possible.