Research Article

Sufficient Condition for Estimation in Designing Filter-Based SLAM

Table 1

Simulation parameters.

Sampling time s0.1
Process noise1 × 10−7
Feasibility condition
 Feasibility condition 1
  Robot and landmark initial state
  covariance
10
10
  Measurement noises0.002
0.002
  Selection of Gamma0.85
 Feasibility condition 2
  Robot and landmark initial state
  covariance
2
2
  Measurement noises5
5
  Selection of Gamma2.35
Case analysis
 Case  1
  Robot and landmark initial state
  covariance
2
20
  Measurement noises2
2
  Selection of Gamma2
 Case  2
  Robot and landmark initial state
  covariance
5
5
  Measurement noises2
2
  Selection of Gamma2