B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender.
Adam KaliszFlorian PartickeDominik PenkMarkus HillerJörn ThieleckePublished in: VISIGRAPP (5: VISAPP) (2019)
Keyphrases
- visual slam
- simultaneous localization and mapping
- visual odometry
- monocular camera
- mobile robot
- monocular slam
- dynamic environments
- real time
- kalman filter
- inertial sensors
- data association
- indoor environments
- mobile robotics
- sensor fusion
- particle filter
- extended kalman filter
- camera motion
- robot navigation
- bundle adjustment
- data fusion
- multi sensor
- position and orientation
- urban environments
- real environment
- depth images
- moving camera
- global positioning system
- image fusion
- visual tracking
- motion model
- structure from motion
- three dimensional