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Maria Waheed

4 accepted papers

2023

A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition

IROS 2023poster

Recently several fusion and switching based approaches have been presented to solve the problem of Visual Place Recognition. In spite of these systems demonstrating significant boost in VPR performance they each have their own set of limitations. The multi-process fusion systems usually involve empl…

Cited by 2SourceScholar
2022

SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments

IROS 2022

Visual place recognition (VPR) - a fundamental task in computer vision and robotics - is the problem of identifying a place mainly based on visual information. View-point and appearance changes, such as due to weather and seasonal variations, make this task challenging. Currently, there is no univer

Cited by 8SourceScholar
2021

Improving Visual Place Recognition Performance by Maximising Complementarity

RA-L 2021

Visual place recognition (VPR) is the problem of recognising a previously visited location using visual information. Many attempts to improve the performance of VPR methods have been made in the literature. One approach that has received attention recently is the multi-process fusion where different

Cited by 17SourceScholar
2020

Exploring Performance Bounds of Visual Place Recognition Using Extended Precision

RA-L 2020

Recent advances in image description and matching allowed significant improvements in Visual Place Recognition (VPR). The wide variety of methods proposed so far and the increase of the interest in the field have rendered the problem of evaluating VPR methods an important task. As part of the locali

Cited by 39SourceScholar