1. Introduction

2. Problem formulation  
2.1. Stochastic hybrid systems  
2.2. Maneuvering space object tracking  

3. State estimation of stochastic hybrid systems  
3.1. State space filtering  
3.2. Sequential Monte Carlo  
3.3. Markov Chain Monte Carlo  

4. Maneuver hypothesis generation  
4.1. Control distance metric  
4.2. Admissible control region  
4.3. Heuristic characterization  

5. Results and comparison  
5.1. Performance metrics  
5.2. Benchmarking methods  
5.3. Synthetic measurements  

6. Summary and conclusions