Multi-sensor fusion in automated driving: A survey

Z Wang, Y Wu, Q Niu - Ieee Access, 2019 - ieeexplore.ieee.org
With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

Analyzing factors influencing situation awareness in autonomous vehicles—A survey

HA Ignatious, H El-Sayed, MA Khan, BM Mokhtar - Sensors, 2023 - mdpi.com
Autonomous driving of higher automation levels asks for optimal execution of critical
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …

Small Unmanned Surface Vessels—A Review and Critical Analysis of Relations to Safety and Safety Assurance of Larger Autonomous Ships

V Bolbot, A Sandru, T Saarniniemi, O Puolakka… - Journal of Marine …, 2023 - mdpi.com
Autonomous ships represent an emerging paradigm within the maritime sector, poised to
bring multiple advantages. Although numerous prototypes have been developed, the …

Disease detection from cassava leaf images with deep learning methods in web environment

S Metlek - International Journal of 3D Printing Technologies and …, 2021 - dergipark.org.tr
In this article, it is aimed to classify healthy and four different plant diseases from Cassava
plant leaf images. For this purpose, the “Cassava-Leaf-Disease-Classification” data set …

The Evolution of Maritime Technology Development: A Dynamic Positioning System Perspective of Maritime Autonomous Surface Ship

CJ Chae - WMU Journal of Maritime Affairs, 2024 - Springer
Abstract Maritime Autonomous Surface Ship (MASS) is a phenomenon of evolutionary
maritime technology development. This involves developing new ship navigation technology …

Aerial Fluvial Image Dataset for Deep Semantic Segmentation Neural Networks and Its Benchmarks

Z Wang, N Mahmoudian - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
Classification of aerial imagery is essential for water channel surveillance and waterfront
land cover characterization. It is also beneficial to long-duration collaborative autonomous …

Erroneous vehicle velocity estimation correction using anisotropic magnetoresistive (AMR) sensors

D Miklusis, V Markevicius, D Navikas, M Ambraziunas… - Sensors, 2022 - mdpi.com
Magnetic field sensors installed in the road infrastructure can be used for autonomous traffic
flow parametrization. Although the main goal of such a measuring system is the recognition …

[PDF][PDF] Underwater target classification with optimized feature selection based on genetic algorithms

RP Fernandes, JA Apolinário Jr - Proc. Simpósio Brasileiro de …, 2020 - researchgate.net
This paper presents an approach to targetclassification optimization based on acoustic
signals collected using a hydrophone, an underwater electroacoustic transducer. This study …

A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats

E Ferrandino, A Capillo, E De Santis… - … on Fuzzy Systems …, 2022 - ieeexplore.ieee.org
The adoption of autonomous driving systems is increasingly widespread in land vehicles for
private and public transportation and more standards have been defined (among which SAE …

[PDF][PDF] A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning.

E Ferrandino, A Capillo, E De Santis, FMF Mascioli… - IJCCI, 2021 - academia.edu
This paper describes the architecture and control design of an autonomous Electric Boat,
together with a specific simulation environment for training and testing the Fuzzy Inference …