A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking.
Xuan ShaoLin ZhangTianjun ZhangYing ShenHongyu LiYicong ZhouPublished in: ACM Multimedia (2020)
Keyphrases
- tightly coupled
- inertial sensors
- indoor environments
- fine grained
- loosely coupled
- high level
- general purpose
- mobile robot
- sensor fusion
- robotic systems
- object and scene recognition
- semantic content
- position and orientation
- semantic space
- sensor networks
- semantic web
- visual features
- real time
- simultaneous localization and mapping
- dynamic model
- visual information
- multiple views
- low level
- sensor data
- semantic similarity
- multi sensor
- semantically heterogeneous
- natural language
- semantic information
- data fusion
- dynamic environments
- semantic annotation
- outdoor environments
- autonomous navigation
- image classification
- particle filter
- access control
- receptive fields