most citedA comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV20241 cited

A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles

Linh Trinh, Siegfried Mercelis, Ali Anwar

Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime operations, capable of supporting a wide range of applications. USVs can help reduce labor costs, incr…

cs.CV2024

Improving classification of road surface conditions via road area extraction and contrastive learning

Linh Trinh, Ali Anwar, Siegfried Mercelis

Maintaining roads is crucial to economic growth and citizen well-being because roads are a vital means of transportation. In various countries, the inspection of road surfaces is s…

cs.CV2024

Multiple data sources and domain generalization learning method for road surface defect classification

Linh Trinh, Ali Anwar, Siegfried Mercelis

Roads are an essential mode of transportation, and maintaining them is critical to economic growth and citizen well-being. With the continued advancement of AI, road surface inspec…

cs.CV2023

FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera images

Linh Trinh, Bach Ha, Tu Tran

In many parts of the world, the use of vast amounts of data collected on public roadways for autonomous driving has increased. In order to detect and anonymize pedestrian faces and…

cs.CV2023

The Second Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Michaela Trescakova +40

This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…