Update with out-of-sequence measurements in tracking: exact solution

By Yaakov Bar-Shalom. SPIE Defense + Commercial Sensing, 2000

407 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/032cf4b4f196ceca4b14a63064133c209b91933c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. F. Karray
2. Alaa Khamis
3. Saiedeh Navabzadeh Razavi
4. Bahador Khaleghi
5. Mae L. Seto
6. Sameer Singh
7. Howard Li
8. Duncan Smith

In Computer Networks and Communications

1. Alaa Khamis
2. Saiedeh Navabzadeh Razavi
3. F. Karray
4. Bahador Khaleghi
5. Mae L. Seto
6. Sameer Singh
7. Howard Li
8. Duncan Smith

In Statistics and Probability

1. Saiedeh Navabzadeh Razavi
2. F. Karray
3. Bahador Khaleghi
4. Mae L. Seto
5. Sameer Singh
6. Howard Li
7. Duncan Smith
8. Alaa Khamis

Citations in the corpus

• A Review of Data Fusion Techniques (2013, background): “In contrast, earlier attempts to solve out-of-sequence measurements using particle filters are based on regenerating the probability density function to the time instant of the out-of-sequence measurement [47].”
• Multisensor data fusion: A review of the state-of-the-art (2013, background): “[124,125,123,128,146] Mostly assume single-lag delays and linear target dynamics”
• Approaches to Multisensor Data Fusion in Target Tracking: A Survey (2006, background): “OOSMs are not only a problem for measurement fusion.”
• Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, background): “Other aspects of communication issues, such as out-of-sequence measurements, have been studied in (Bar-Shalom, 2002; Howard et al., 2003; Bar-Shalom et al., 2004; Hollinger and Singh, 2012).”