A method of inertial integrated navigation based on low cost MEMS sensors.
Zhengchun WangZhi XiongPin LyuJian-Xin XuXin HuangLimin XuPublished in: PLANS (2018)
Keyphrases
- low cost
- segmentation method
- real time
- detection method
- high accuracy
- highly efficient
- pairwise
- classification method
- preprocessing
- significant improvement
- experimental evaluation
- probabilistic model
- classification accuracy
- objective function
- detection algorithm
- high precision
- synthetic data
- dead reckoning
- clustering method
- computationally efficient
- prior knowledge
- similarity measure
- face recognition
- clustering algorithm