Hyperspectral images (HSIs) contain rich spectral and spatial informatio...
LiDAR place recognition approaches based on deep learning suffer a
signi...
The performance of a lifelong learning (L3) model degrades when it is tr...
An ultimate objective in continual learning is to preserve knowledge lea...
The success of re-localisation has crucial implications for the practica...
Traditional approaches for learning on categorical data underexploit the...
The diversity of terrestrial vascular plants plays a key role in maintai...
Many existing datasets for lidar place recognition are solely representa...
Although re-ranking methods are widely used in many retrieval tasks to
i...
State-of-the-art approaches to lidar place recognition degrade significa...
Diversity of terrestrial plants plays a key role in maintaining a stable...
We present Wildcat, a novel online 3D lidar-inertial SLAM system with
ex...
In object detection, false negatives arise when a detector fails to dete...
Place recognition is a fundamental component of robotics, and has seen
t...
Point clouds are a key modality used for perception in autonomous vehicl...
Crown-of-Thorn Starfish (COTS) outbreaks are a major cause of coral loss...
Retrieval-based place recognition is an efficient and effective solution...
We introduce a dataset of seagrass images collected by a biologist
snork...
Place Recognition (PR) enables the estimation of a globally consistent m...
Underwater surveys conducted using divers or robots equipped with custom...
Map-centric SLAM utilizes elasticity as a means of loop closure. This
ap...
We propose a 3D ray cloud based method for estimating the canopy density...
The traditional paradigm of applying deep learning – collect, annotate a...
The demand for multimodal sensing systems for robotics is growing due to...
We introduce a synthetic dataset for evaluating non-rigid 3D human
recon...
Map-centric SLAM is emerging as an alternative of conventional graph-bas...
This paper presents a method which can track and 3D reconstruct the non-...
Automated segmentation of individual leaves of a plant in an image is a
...
We present a novel non-rigid reconstruction method using a moving RGB-D
...
We present a novel non-rigid reconstruction method using a moving RGB-D
...
The concept of continuous-time trajectory representation has brought
inc...