An Alternative to the Mahalanobis Distance for Determining Optimal Correspondences in Data Association

Autor:	J-L Blanco, Javier Gonzalez-Jimenez, J-A Fernandez-Madrigal
Rok vydání:	2012
Předmět:	Mahalanobis distance business.industry Pattern recognition Sensor fusion Computer Science Applications Control and Systems Engineering Common Criteria Data association Statistics Statistical analysis Artificial intelligence Electrical and Electronic Engineering business Statistic Mathematics
Zdroj:	IEEE Transactions on Robotics. 28:980-986
ISSN:	1941-0468 1552-3098
Popis:	The most common criteria to determine data association rely on minimizing the squared Mahalanobis distance (SMD) between observations and predictions. We hold that the SMD is just a heuristic, while the alternative matching likelihood is the optimal statistic to be maximized. Thorough experiments undoubtedly confirm this idea, with false positive reductions of up to 16%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8686d27a80e32297b9d7857b2c2348e0 https://doi.org/10.1109/tro.2012.2193706 Zobrazit plný text záznamu