Results 81 to 90 of about 48,380 (279)

Unmanned trackless rubber wheeler based on LD improved Cartographer mapping algorithm underground SLAM autonomous navigation method and test

Meitan xuebao
As one of the important forms of equipment for the auxiliary transportation system of mines, the autonomous trackless rubber-tyred vehicles will be an inevitable direction as a result of the intelligent development of mines. However, the current research
Fangwei LI, Jiusheng BAO, Chen WANG, Xiaoming YUAN, Yan YIN, Shirong GE, Maosen WANG, Yuhan LV   +7 more
doaj   +1 more source

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

Enhanced High-Definition Video Transmission for Unmanned Driving in Mining Environments

Applied Sciences
In the development of intelligent mines, unmanned driving transportation has emerged as a key technology to reduce human involvement and enable unmanned operations.
Liya Zhang, Wei Yang, Chenxin Li
doaj   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Optimization of Unmanned Driving Obstacle Detection Method

Mathematical Modeling and Algorithm Application
In order to effectively enhance the accuracy of obstacle detection in unmanned driving on roads, this paper proposes an improved Faster-RCNN object detection model. Diverging from conventional Faster-RCNN models that replace the feature extraction network with ResNet50 instead of VGG16 and deepen the convolutional layers, allowing for a more ...
Ziyan Li, Xinyi Liu
openaire   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

The Layout and Size of an Early Pre‐Pottery Neolithic B Small Settlement Revealed by Geophysical Prospection at Harbetsuvan Tepesi in Southeastern Anatolia

Archaeological Prospection, EarlyView.
ABSTRACT In Upper Mesopotamia, the transition from the Pre‐Pottery Neolithic A (PPNA) to Pre‐Pottery Neolithic B (PPNB) period, ca. 10 800–10 600 cal. BP, is marked by a series of changes in chipped stone industries, architectural forms, symbolic objects, regional distribution of settlements and long‐distance exchange networks among others.
Toshihiro Tada, Ryota Moriwaki, Kazuya Shimogama, Kenta Suzuki, Wataru Satake, Nurcan Küçükarslan, Celal Uludağ, Yoshihiro Nishiaki   +7 more
wiley   +1 more source

Adaptive mixing formation control of multiquadrotor unmanned aerial vehicle systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a distributed adaptive mixing control (AMC) design for formation maintenance of systems of multiquadrotor UAVs (q‐UAVs) during commanded path‐tracking maneuvers. The proposed formation control scheme has a two‐level structure. The high level defines the desired trajectories for rigid and persistent formation acquisition and
Nasrettin Köksal, Barış Fidan, Ahmed Fahim Mostafa   +2 more
wiley   +1 more source

Insulator fault feature extraction system of substation equipment based on machine vision

IET Networks, EarlyView., 2022
Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang, Qiaoqun Xia, Lijun Ma, Xin Xu, Zhipeng Shao   +4 more
wiley   +1 more source

Sustaining Circular Innovation Under Volatile Market Conditions: The Critical Role of Industry Platforms

Business Strategy and the Environment, EarlyView.
ABSTRACT While industry platforms are widely recognized as enablers of circular innovation, we still know little about how they evolve to scale and sustain innovation as economic conditions tighten and circular economy funding schemes become more selective.
Eva Qi Wang, Julia A. Fehrer, Jonathan J. Baker, Roderick J. Brodie   +3 more
wiley   +1 more source