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