Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Artificial intelligence and its role in near future
J Shabbir, T Anwer - arXiv preprint arXiv:1804.01396, 2018 - arxiv.org
AI technology has a long history which is actively and constantly changing and growing. It
focuses on intelligent agents, which contain devices that perceive the environment and …
focuses on intelligent agents, which contain devices that perceive the environment and …
Road object detection for HD map: Full-element survey, analysis and perspectives
As the key part of autonomous driving (AD), High-Definition (HD) map provides more precise
location and rich semantic information than the traditional map. With the development of AD …
location and rich semantic information than the traditional map. With the development of AD …
Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
Deep learning has received significant attention recently as a promising solution to many
problems in the area of artificial intelligence. Among several deep learning architectures …
problems in the area of artificial intelligence. Among several deep learning architectures …
Recognizing road surface traffic signs based on YOLO models considering image flips
In recent years, there have been significant advances in deep learning and road marking
recognition due to machine learning and artificial intelligence. Despite significant progress, it …
recognition due to machine learning and artificial intelligence. Despite significant progress, it …
Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles
GAP de Morais, LB Marcos, JNAD Bueno… - Control Engineering …, 2020 - Elsevier
Given the recent advances in computer vision, image processing and control systems, self-
driving vehicles has been one of the most promising and challenging research topics …
driving vehicles has been one of the most promising and challenging research topics …
Ceymo: See more on roads-a novel benchmark dataset for road marking detection
O Jayasinghe, S Hemachandra… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we introduce a novel road marking benchmark dataset for road marking
detection, addressing the limitations in the existing publicly available datasets such as lack …
detection, addressing the limitations in the existing publicly available datasets such as lack …
A survey of deep learning techniques for mobile robot applications
J Shabbir, T Anwer - arXiv preprint arXiv:1803.07608, 2018 - arxiv.org
Advancements in deep learning over the years have attracted research into how deep
artificial neural networks can be used in robotic systems. This research survey will present a …
artificial neural networks can be used in robotic systems. This research survey will present a …
Vision-based pavement marking detection and condition assessment—A case study
Pavement markings constitute an effective way of conveying regulations and guidance to
drivers. They constitute the most fundamental way to communicate with road users, thus …
drivers. They constitute the most fundamental way to communicate with road users, thus …
Automatic road-marking detection and measurement from laser-scanning 3D profile data
D Zhang, X Xu, H Lin, R Gui, M Cao, L He - Automation in Construction, 2019 - Elsevier
Automatic road-marking detection and measurement have great significance for pavement
maintenance and management. Laser-scanning 3D profile data provide a new way of road …
maintenance and management. Laser-scanning 3D profile data provide a new way of road …