An improved Random Sample Consensus algorithm for visual indoor positioning based on angle difference
Author:
Affiliation:
1. Shandong University of Science and Technology,College of Geodesy and Geomatics,Qingdao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10491280/10491414/10491426.pdf?arnumber=10491426
Reference14 articles.
1. Bluetooth Indoor Positioning Based on RSSI and Kalman Filter
2. Overview of WiFi fingerprinting‐based indoor positioning
3. An Adaptive UWB/MEMS-IMU Complementary Kalman Filter for Indoor Location in NLOS Environment
4. Novel Semi-Passive RFID System for Indoor Localization
5. Indoor Location Technology with High Accuracy Using Simple Visual Tags
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