One hurdle to accurate indoor localization using time-based networks is the presence of
Non-Line-Of-Sight (NLOS) and multipath signals, affecting the accuracy of ranging in indoor …

Non-line-of-sight (NLOS) error mitigation for the time-of-arrival (TOA) localization has been
extensively studied, but these methods cannot be directly applied for the time-difference-of …

Recently, round-trip time (RTT) measured by a fine-timing measurement protocol has
received great attention in the area of WiFi positioning. It provides an acceptable ranging …

A new extreme learning machine (ELM) localization technique that uses received signal
strength indicator fingerprints only is proposed for multifloor environments. This structured …

The presence of a non-line-of-sight (NLOS) link between a base station (BS) and a mobile
station (MS) in a cellular network is a major issue that limits the performance of the majority …

Pose estimation is a crucial problem in several computer vision and robotics applications.
For the two-view scenario, the typical pipeline consists of finding point correspondences …

Recently, vehicle-to-vehicle (V2V) based localization has attracted much attention due to its
potential to achieve high accuracy. However, the error caused by non-line-of-sight (NLOS) …

This letter develops an extreme learning machine (ELM) and AdaBoost technique for indoor
localization using channel state information (CSI) and received signal strength indicators …

This paper develops a novel algorithm for classifying and rejecting non-line-of-sight
ultrasonic signals for use in indoor positioning and measurement systems. The algorithm …

In time-of-arrival (TOA) localization systems, errors caused by non-line-of-sight (NLOS)
signal propagation could significantly degrade the location accuracy. Existing works on …