State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …
A review of feature set partitioning methods for multi-view ensemble learning
A Kumar, J Yadav - Information Fusion, 2023 - Elsevier
Since the present era is entirely computer and Internet of Things (IoT) oriented, enormous
amounts of data are produced quickly from many sources. Machine learning's primary …
amounts of data are produced quickly from many sources. Machine learning's primary …
Pose-graph SLAM using forward-looking sonar
This letter reports on a real-time simultaneous localization and map** (SLAM) algorithm
for an underwater robot using an imaging forward-looking sonar and its application in the …
for an underwater robot using an imaging forward-looking sonar and its application in the …
Degeneracy-aware imaging sonar simultaneous localization and map**
High-frequency imaging sonar sensors have recently been applied to aid underwater
vehicle localization, by providing frame-to-frame odometry measurements or loop closures …
vehicle localization, by providing frame-to-frame odometry measurements or loop closures …
Feature-based SLAM for imaging sonar with under-constrained landmarks
Recent algorithms have demonstrated the feasibility of underwater feature-based SLAM
using imaging sonar. But previous methods have either relied on manual feature extraction …
using imaging sonar. But previous methods have either relied on manual feature extraction …
Underwater place recognition in unknown environments with triplet based acoustic image retrieval
POCS Ribeiro, MM dos Santos… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Forward-looking sonars (FLS) are perception sensors that are not affected by underwater
turbidity. FLS are used in Remotely Operated Vehicles (ROVs) to help them in the tasks of …
turbidity. FLS are used in Remotely Operated Vehicles (ROVs) to help them in the tasks of …
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
Autonomous navigation in underwater environments presents challenges due to factors
such as light absorption and water turbidity, limiting the effectiveness of optical sensors …
such as light absorption and water turbidity, limiting the effectiveness of optical sensors …
Selective image registration for efficient visual SLAM on planar surface structures in underwater environment
This paper presents a computationally efficient approach that can be applied to visual
simultaneous localization and map** (SLAM) for the autonomous inspection of …
simultaneous localization and map** (SLAM) for the autonomous inspection of …
Deep learning of submerged body images from 2D sonar sensor based on convolutional neural network
S Lee - 2017 IEEE Underwater Technology (UT), 2017 - ieeexplore.ieee.org
Given the harsh working conditions such as high-speed flow rate, turbid watch, and steep
terrain, it is a very challenging task to find submerged bodies in disaster site occurred at sea …
terrain, it is a very challenging task to find submerged bodies in disaster site occurred at sea …
3D reconstruction of line features using multi-view acoustic images in underwater environment
In order to understand the underwater environment, it is essential to use sensing
methodologies able to perceive the three dimensional (3D) information of the explored site …
methodologies able to perceive the three dimensional (3D) information of the explored site …