Results 111 to 120 of about 6,226 (231)

Deep Classification Network for Monocular Depth Estimation

CoRR, 2019
Monocular Depth Estimation is usually treated as a supervised and regression problem when it actually is very similar to semantic segmentation task since they both are fundamentally pixel-level classification tasks. We applied depth increments that increases with depth in discretizing depth values and then applied Deeplab v2 and the result was higher ...
Oluwafemi Azeez, Yang Zou 0003, B. V. K. Vijaya Kumar   +2 more
openaire   +2 more sources

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

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
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

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

Journal of Field Robotics, Volume 43, Issue 3, Page 1884-1904, May 2026.
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

Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency

Applied Sciences
Monocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. However, predicting depth from a single image poses significant challenges, especially in dynamic scenes ...
Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho   +4 more
doaj   +1 more source

Characterising PRPF31‐associated retinal dystrophy: Clinical insights from baseline data in a natural history study

Acta Ophthalmologica, Volume 104, Issue 3, Page e317-e328, May 2026.
Abstract Purpose To characterise the baseline clinical features and genotypes of adults with pre‐mRNA processing factor 31 (PRPF31)‐associated retinal dystrophy (RD) enrolled in a prospective, multicentre 4‐year natural history study, and to explore correlations between selected baseline parameters.
Kathrine Olaussen Eriksen, Jon Roger Eidet, Ulrika Kjellström, Jacopo Baldesi, Ragnheidur Bragadóttir, Leonardo Colombo, Josephine Prener Holtan   +6 more
wiley   +1 more source

Language-Based Depth Hints for Monocular Depth Estimation

CoRR
8 pages, 1 figure.
Dylan Auty, Krystian Mikolajczyk
openaire   +2 more sources

HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

, 2021
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan   +7 more
openalex   +2 more sources

Mono-ViM: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes

Mathematics
Self-supervised depth estimation methods enable the recovery of scene depth information from monocular endoscopic images, thereby assisting endoscopic navigation.
Shengli Chen, Yuming Chen, Xiaoang Xu, Jiahao Li, Ke Ye, Tianzuo Chang   +5 more
doaj   +1 more source

Depth Estimation of a Deformable Object via a Monocular Camera [PDF]

, 2019
Guolai Jiang, Shaokun Jin, Yongsheng Ou, Shoujun Zhou   +3 more
openalex   +1 more source

Deep Neural Networks for Accurate Depth Estimation with Latent Space Features

Biomimetics
Depth estimation plays a pivotal role in advancing human–robot interactions, especially in indoor environments where accurate 3D scene reconstruction is essential for tasks like navigation and object handling.
Siddiqui Muhammad Yasir, Hyunsik Ahn
doaj   +1 more source