TY - GEN
T1 - Efficient object motion prediction using adaptive fuzzy navigational environment
AU - Rajpurohit, Vijay S.
AU - Pai, M. M.Manohara
PY - 2011/4/28
Y1 - 2011/4/28
N2 - This paper proposes an adaptive Fuzzy rule based motion prediction algorithm for predicting the next instance position of a moving object. The prediction algorithm is tested for real-life bench-marked data sets and compared with existing motion prediction techniques. Results of the study indicate that the performance of the predictor is comparable to the existing prediction methods.
AB - This paper proposes an adaptive Fuzzy rule based motion prediction algorithm for predicting the next instance position of a moving object. The prediction algorithm is tested for real-life bench-marked data sets and compared with existing motion prediction techniques. Results of the study indicate that the performance of the predictor is comparable to the existing prediction methods.
UR - https://www.scopus.com/pages/publications/79955118537
UR - https://www.scopus.com/inward/citedby.url?scp=79955118537&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20573-6_1
DO - 10.1007/978-3-642-20573-6_1
M3 - Conference contribution
AN - SCOPUS:79955118537
SN - 9783642205729
T3 - Communications in Computer and Information Science
SP - 1
EP - 5
BT - Information Technology and Mobile Communication - International Conference, AIM 2011, Proceedings
T2 - International Conference on Information Technology and Mobile Communication, AIM 2011
Y2 - 21 April 2011 through 22 April 2011
ER -