Vision-Based Navigation and Mapping

Inertial and dead reckoning navigation, probabilistic information fusion, vision aided navigation, simultaneous localization and mapping, IMU pre-integration, visual-inertial bundle adjustment, cooperative navigation and slam (centralized and distributed), active state estimation and belief-space planning. Learning Outcomes# After completion of the course the student will know how to#%

1. Develop and implement vision-aided navigation and slam algorithms.
2. Derive and implement probabilistic formulations for cooperative information fusion, van and slam.
3. Implement and solve standard bundle adjustment optimization using real imagery.
4. Develop algorithms for belief space planning.

After completion of the course the student will know how to:

1. Develop and implement vision-aided navigation and slam algorithms.
2. Derive and implement probabilistic formulations for cooperative information fusion, van and slam.
3. Implement and solve standard bundle adjustment optimization using real imagery.
4. Develop algorithms for belief space planning.

SEMESTER START: March 25, 2026 Day & Time: TBD

Online

N/A

Lectures