ACK-MSCKF: Tightly-Coupled Ackermann Multi-State Constraint Kalman Filter for Autonomous Vehicle Localization.
Fangwu MaJinzhu ShiYu YangJinhang LiKai DaiPublished in: Sensors (2019)
Keyphrases
- kalman filter
- tightly coupled
- state estimation
- kalman filtering
- autonomous vehicles
- fine grained
- loosely coupled
- general purpose
- rao blackwellized particle filter
- simultaneous localization and mapping
- update equations
- object tracking
- mean shift
- particle filter
- state space
- state space model
- particle filtering
- extended kalman filter
- data association
- obstacle avoidance
- real time
- long range
- map building
- feature extraction
- web services
- neural network