Results 41 to 50 of about 7,057 (212)

Extraction of Tubular Structures over an Orientation Domain [PDF]

open access: yes, 2009
International audienceThis paper presents a new method to extract tubular structures from bi-dimensional images. The core of the proposed algorithm is the computation of geodesic curves over a four-dimensional space that includes local orientation and ...
Keriven, Renaud   +2 more
core   +3 more sources

Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation

open access: yesAdvanced Robotics Research, EarlyView.
A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo   +4 more
wiley   +1 more source

Model-based estimation of off-highway road geometry using single-axis LADAR and inertial sensing [PDF]

open access: yes, 2006
This paper applies some previously studied extended Kalman filter techniques for planar road geometry estimation to the domain of autonomous navigation of off-highway vehicles.
Cremean, Lars B., Murray, Richard M.
core  

Topology-Aware Road Network Extraction via Multi-Supervised Generative Adversarial Networks

open access: yesRemote Sensing, 2019
Road network extraction from remote sensing images has played an important role in various areas. However, due to complex imaging conditions and terrain factors, such as occlusion and shades, it is very challenging to extract road networks with complete ...
Yang Zhang   +5 more
doaj   +1 more source

MACHINE LEARNING BASED ROAD DETECTION FROM HIGH RESOLUTION IMAGERY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
At present, remote sensing technology is the best weapon to get information from the earth surface, and it is very useful in geo- information updating and related applications.
Y. Lv, G. Wang, X. Hu
doaj   +1 more source

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

open access: yesAdvanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu   +14 more
wiley   +1 more source

AI‐Assisted Self‐Powered Wearable Dual‐Mode Sensor With TENG and Stretchable Optical Fiber for Neurological Disorder Diagnostics

open access: yesAdvanced Science, EarlyView.
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li   +12 more
wiley   +1 more source

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair

open access: yesAdvanced Science, EarlyView.
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu   +9 more
wiley   +1 more source

Extraction of Maritime Road Networks From Large-Scale AIS Data

open access: yesIEEE Access, 2019
Extracting road network information including lane boundaries, lane centerlines, junctions and their relationship from AIS data plays an important role in location based services, urban computing and intelligent transportation systems, etc.
Guiling Wang, Jinlong Meng, Yanbo Han
doaj   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin   +4 more
wiley   +1 more source

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