Positionierung und Erfassung
R2026aKI für Positionierung und Erfassung
Diese Beispiele zeigen KI-Techniken für hochpräzise Drahtlos-Positionierung und -Erfassung.
Enthaltene Beispiele
AI for Positioning Accuracy Enhancement
Use AI to estimate the position of user equipment and compare performance with traditional TDoA techniques.
Three-Dimensional Indoor Positioning with 802.11az Fingerprinting and Deep Learning
Train a convolutional neural network for IEEE® 802.11az™ localization and positioning.
Detect Human Presence Using Wireless Sensing with Deep Learning
Perform wireless sensing to detect human presence using a CNN and the channel state information in wireless local area networks.
Bluetooth LE Positioning with Deep Learning
Compute the 3-D positioning of a Bluetooth LE node by using RSSI fingerprinting and a CNN.
