Ground target tracking with variable structure IMM estimator

By T. Kirubarajan, Yaakov Bar-Shalom, Krishna R. Pattipati, I. Kadar. IEEE Transactions on Aerospace and Electronic Systems, 2000

355 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/cb7a064e9ce172b308227c1d892fdeac2e559b7a

How researchers see this paper

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

In Aerospace Engineering

1. Andrey Rudenko
2. Dariu M. Gavrila
3. Wolfgang Koch
4. Kai Oliver Arras
5. Martin Ulmke
6. Kris M. Kitani
7. Luigi Palmieri
8. Michael Herman

In Artificial Intelligence

1. Kris M. Kitani
2. Michael Herman
3. Kai Oliver Arras
4. Luigi Palmieri
5. Andrey Rudenko
6. Dariu M. Gavrila
7. Wolfgang Koch
8. Martin Ulmke

In Computer Networks and Communications

1. Kris M. Kitani

Citations in the corpus

• Multiple hypothesis tracking for multiple target tracking (2004, neutral): “For example, see [34—38] and Chapt.”
• Human motion trajectory prediction: a survey (2019, methodology): “Other examples of IMMs techniques are variable-structure IMM for ground vehicles (Kirubarajan et al. 2000; Noe and Collins 2000; Pannetier et al. 2005; Shea et al. 2000) and for bicycles (Pool et al. 2017) to account for road constraints.”
• Road-map assisted ground moving target tracking (2006, background): “[2] consider a measurement model for a dynamical sensor platform with varying revisit intervals and regions.”