VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments.
Koji MinodaFabian SchillingValentin WüestDario FloreanoTakehisa YairiPublished in: CoRR (2021)
Keyphrases
- dynamic environments
- inertial sensors
- real environment
- mobile robot
- simultaneous localization and mapping
- autonomous agents
- path planning
- agent systems
- collision avoidance
- visual features
- autonomous navigation
- potential field
- real world
- visual information
- autonomous systems
- sensory information
- agent based systems
- reinforcement learning agents
- highly dynamic environments
- single agent
- sensor fusion
- belief space
- changing environment
- human actions
- cellular automata
- visual slam
- virtual environment