1 citations · 1 across the 9 of their papers we have counts for
9 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…
Data selection method for assessment of autonomous vehicles
Linh Trinh, Ali Anwar, Siegfried Mercelis
As the popularity of autonomous vehicles has grown, many standards and regulators, such as ISO, NHTSA, and Euro NCAP, require safety validation to ensure a sufficient level of safe…
TurtleRabbit 2024 SSL Team Description Paper
Linh Trinh, Alif Anzuman, Eric Batkhuu +10
TurtleRabbit is a new RoboCup SSL team from Western Sydney University. This team description paper presents our approach in navigating some of the challenges in developing a new SS…
A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roads
Linh Trinh, Quang-Hung Luu, Thai M. Nguyen +1
Stress testing is an approach for evaluating the reliability of systems under extreme conditions which help reveal vulnerable scenarios that standard testing may overlook. Identify…
SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles
Linh Trinh, Ali Anwar, Siegfried Mercelis
Recently, there has been an upsurge in the research on maritime vision, where a lot of works are influenced by the application of computer vision for Unmanned Surface Vehicles (USV…
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…