activity
20172026
most citedLoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

108 citations · 417 across the 27 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 34 cited

Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization

Kavisha Vidanapathirana, Peyman Moghadam, Sridha Sridharan +1

In large-scale metric localization, an incorrect result during retrieval will lead to an incorrect pose estimate or loop closure. Re-ranking methods propose to take into account al…

cs.CV2022

Uncertainty-Aware Lidar Place Recognition in Novel Environments

Keita Mason, Joshua Knights, Milad Ramezani +2

State-of-the-art lidar place recognition models exhibit unreliable performance when tested on environments different from their training dataset, which limits their use in complex…

cs.LG2022

A Real-time Edge-AI System for Reef Surveys

Yang Li, Jiajun Liu, Brano Kusy +12

Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss on the Great Barrier Reef (GBR) and substantial surveillance and control programs are ongoing to manage COT…

cs.RO2022★ 33 cited

Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAM

Milad Ramezani, Kasra Khosoussi, Gavin Catt +5

We present Wildcat, a novel online 3D lidar-inertial SLAM system with exceptional versatility and robustness. At its core, Wildcat combines a robust real-time lidar-inertial odomet…

cs.CV2022★ 1 cited

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

Dimity Miller, Peyman Moghadam, Mark Cox +2

In object detection, false negatives arise when a detector fails to detect a target object. To understand why object detectors produce false negatives, we identify five 'false nega…

cs.CV2022

InCloud: Incremental Learning for Point Cloud Place Recognition

Joshua Knights, Peyman Moghadam, Milad Ramezani +2

Place recognition is a fundamental component of robotics, and has seen tremendous improvements through the use of deep learning models in recent years. Networks can experience sign…