Results 71 to 80 of about 26,254 (190)

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning

, 2019
Convolutional neural networks (CNNs) have emerged as the state-of-the-art in multiple vision tasks including depth estimation. However, memory and computing power requirements remain as challenges to be tackled in these models. Monocular depth estimation
Elkerdawy, Sara, Ray, Nilanjan, Zhang, Hong   +2 more
core   +1 more source

Comparative Study of Accommodative Function and Binocular Vision in Patients With Primary Angle‐Closure Disease

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT The age‐related decline in accommodative function after the age of 50 years corresponds with an increasing incidence of primary angle‐closure disease (PACD); however, the interaction between this decline and PACD remains unexamined. Additionally, refractive error‐accommodation associations in elderly individuals, which are critical for PACD ...
Feng‐Rui Yang, Zhi‐Qiao Liang, Ye Lu, Yao Ma, Kun Lv, Qian Zhang, Hui‐Juan Wu   +6 more
wiley   +1 more source

Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

, 2018
Learning to predict scene depth from RGB inputs is a challenging task both for indoor and outdoor robot navigation. In this work we address unsupervised learning of scene depth and robot ego-motion where supervision is provided by monocular videos, as ...
Angelova, Anelia, Casser, Vincent, Mahjourian, Reza, Pirk, Soeren   +3 more
core   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

, 2017
Given the recent advances in depth prediction from Convolutional Neural Networks (CNNs), this paper investigates how predicted depth maps from a deep neural network can be deployed for accurate and dense monocular reconstruction.
Laina, Iro, Navab, Nassir, Tateno, Keisuke, Tombari, Federico   +3 more
core   +1 more source

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan, Sultan Shaharea, Manseeb M. Mannaf, Shihab Ahemed, Fahim Islam Anik, Md Jarir Hossain, Helal An Nahiyan, Sourav Karmaker   +7 more
wiley   +1 more source

Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation

International Journal of Information Management Data Insights
Depth estimation is one of the crucial tasks for autonomous systems, which provides important information about the distance between the system and its surroundings.
Krisna Pinasthika, Fitri Utaminingrum, Chih‑Yang Lin, Chikamune Wada, Timothy K. Shih   +4 more
doaj   +1 more source

Monocular 3D Object Detection Based on Height-Depth Constraint and Edge Fusion [PDF]

Jisuanji kexue
Monocular 3D object detection aims to complete 3D object detection using monocular images,and most existing monocular 3D object detection algorithms are based on classical 2D object detection algorithms.To address the issue of inaccurate instance depth ...
PU Bin, LIANG Zhengyou, SUN Yu
doaj   +1 more source

Towards Explainability in Monocular Depth Estimation

VDC_RelSize The Visual Depth Cue Dataset (VDC) is a synthetic image dataset which focuses on monocular depth estimation tasks. VDC is inspired by the research of Cutting & Vishton about the human depth perception system. Relative Size Τhe real world is perceived with perspective, which causes objects that are closer to the observer to appear larger ...
Arampatzakis, Vasileios, Pavlidis, George, Pantoglou, Kyriakos, Mitianoudis, Nikolaos, Papamarkos, Nikos   +4 more
openaire   +2 more sources