Results 121 to 130 of about 55,473 (273)

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen, Dmitry Ignatyev, Argyrios Zolotas   +2 more
wiley   +1 more source

Research status and development trends of SLAM technology in autonomous mining field

Gong-kuang zidonghua
Autonomous driving is identified as one of the key technologies for mining intelligence, with simultaneous localization and mapping (SLAM) technology serving as a key link to realize autonomous driving.
CUI Shaoyun, BAO Jiusheng, HU Deping, YUAN Xiaoming, ZHANG Kekun, YIN Yan, WANG Maosen, ZHU Chenzhong   +7 more
doaj   +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

DRV-SLAM: An Adaptive Real-Time Semantic Visual SLAM Based on Instance Segmentation Toward Dynamic Environments

IEEE Access
Traditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits the applicability of most visual SLAM systems in various real-world scenarios.
Qiang Ji, Zikang Zhang, Yifu Chen, Enhui Zheng   +3 more
doaj   +1 more source

Parametric Dense Visual SLAM

, 2011
Existing work in the field of monocular Simultaneous Localisation and Mapping (SLAM) has largely centred around sparse feature-based representations of the world. By tracking salient image patches across many frames of video, both the positions of the features and the motion of the camera can be inferred live.
openaire   +3 more sources

Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone

Journal of Field Robotics, EarlyView.
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown, Robert Clarke, Ali Akbari, Ferdian Jovan, Jameel Marafie, Ognjen Marjanovic, Sara Bernardini, Tom Richardson, Simon Watson   +8 more
wiley   +1 more source

Deep Patch Visual SLAM

Recent work in visual SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, however, such approaches are often expensive to run or do not generalize well zero-shot. Their runtime can also fluctuate wildly while their frontend and backend fight for access to GPU resources.
Lipson, Lahav, Teed, Zachary, Deng, Jia
openaire   +2 more sources

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

A multi-sensor fusion simultaneous localization and mapping algorithm suitable for coal mines

Meikuang Anquan
Simultaneous localization and mapping (SLAM) is a key technology to achieve coal mine intellectualization, but its usage is restricted in underground coal mines due to feature degradation.
Mingyang GAO, Zhigang ZHANG, Qixin LIU, Xiaobo LI   +3 more
doaj   +1 more source