Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:
Examination Committee
Prof Michael WANG, ECE/HKUST (Chairperson)
Prof Ling SHI, ECE/HKUST (Thesis Supervisor)
Prof Shaojie SHEN, ECE/HKUST (Thesis Co-supervisor)
Prof Lu FANG, ECE/HKUST
Abstract
WiFi-based localization has received increasing attentions these years as WiFi devices are low-cost and universal. Recent years, tens of WiFi-based localization systems have been proposed which could achieve decimeter-level accuracy with the commercial wireless card and with no specialized infrastructure. However, such systems require the positions of the Access Points or fingerprint map to be known in advance. In this thesis work, we present CWISE, an accurate WiFi-Inertial SLAM system without requirement for Access Points' positions, specialized infrastructure and fingerprinting. CWISE relies only on a commercial wireless card with two antennas and an IMU. We test the CWISE system on a flying quadrotor and it shows that the system is able to work in real time and obtain mean accuracy of 1.60m.