| Scalar | |
| xi, yi, zi | camera coordinates |
| θi, ϕi | camera azimuth and elevation |
| ri | real depth to feature |
| ρi | inverse depth to feature |
| αmin | min. landmark parallax angle (monocular case) |
| αSmin | min. landmark parallax angle (stereo case) |
| plmin | min. parallax to crop FoV intersection |
| Vector | |
| x̂ | augmented state vector |
| x̂v | robot camera state vector |
| rWC | camera optical center position quaternion |
| qWC | robot camera orientation quaternion |
| VW | robot camera linear speed vector |
| ωW | robot camera angular speed vector |
| ŷi | i-th feature vector |
| fv | camera motion prediction model |
| υW | linear speed pulse assumed by model |
| ζW | angular speed pulse assumed by model |
| hc | measurement prediction model |
| g | Kalman innovation vector |
| z | features measurement vector |
| h | predicted features vector |
| Matrix | |
| Q | process noise matrix |
| ∇Fu | process noise Jacobian matrix |
| RCW | world to camera transformation matrix |
| ∇Hk | measurement model Jacobian matrix |
| Sk | innovation covariance matrix |
| Ruv | measurement noise matrix |
| Wk | Kalman gain matrix |
| Pk | augmented state covariance matrix |
| ∇Fx | stated prediction model Jacobian matrix |