Underwater target recognition methods based on the framework of deep learning: A survey
B Teng, H Zhao - International Journal of Advanced Robotic …, 2020 - journals.sagepub.com
The accuracy of underwater target recognition by autonomous underwater vehicle (AUV) is
a powerful guarantee for underwater detection, rescue, and security. Recently, deep …
a powerful guarantee for underwater detection, rescue, and security. Recently, deep …
Image segmentation for fruit detection and yield estimation in apple orchards
S Bargoti, JP Underwood - Journal of Field Robotics, 2017 - Wiley Online Library
Ground vehicles equipped with monocular vision systems are a valuable source of high‐
resolution image data for precision agriculture applications in orchards. This paper presents …
resolution image data for precision agriculture applications in orchards. This paper presents …
[HTML][HTML] Benthic habitat mapping: A review of three decades of mapping biological patterns on the seafloor
What is benthic habitat mapping, how is it accomplished, and how has that changed over
time? We query the published literature to answer these questions and synthesize the …
time? We query the published literature to answer these questions and synthesize the …
Improved multimodal deep learning with variation of information
Deep learning has been successfully applied to multimodal representation learning
problems, with a common strategy to learning joint representations that are shared across …
problems, with a common strategy to learning joint representations that are shared across …
Multimodal learning and inference from visual and remotely sensed data
D Rao, M De Deuge… - … Journal of Robotics …, 2017 - journals.sagepub.com
Autonomous vehicles are often tasked to explore unseen environments, aiming to acquire
and understand large amounts of visual image data and other sensory information. In such …
and understand large amounts of visual image data and other sensory information. In such …
[PDF][PDF] Multimodal deep autoencoders for control of a mobile robot
Robot navigation systems are typically engineered to suit certain platforms, sensing suites
and environment types. In order to deploy a robot in an environment where its existing …
and environment types. In order to deploy a robot in an environment where its existing …
Robotic coral reef health assessment using automated image analysis
This paper presents a system capable of autonomous surveillance and analysis of coral reef
ecosystems using natural lighting. We describe our strategy to safely and effectively deploy …
ecosystems using natural lighting. We describe our strategy to safely and effectively deploy …
Image classification with orchard metadata
S Bargoti, J Underwood - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
Low cost and easy to use monocular vision systems are able to capture large scale, dense
data in orchards, to facilitate precision agriculture applications. Accurate image parsing is …
data in orchards, to facilitate precision agriculture applications. Accurate image parsing is …
Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models
The gap between our ability to collect interesting data and our ability to analyze these data is
growing at an unprecedented rate. Recent algorithmic attempts to fill this gap have …
growing at an unprecedented rate. Recent algorithmic attempts to fill this gap have …
Multimodal information-theoretic measures for autonomous exploration
Autonomous underwater vehicles (AUVs) are widely used to perform information gathering
missions in unseen environments. Given the sheer size of the ocean environment, and the …
missions in unseen environments. Given the sheer size of the ocean environment, and the …