Results 31 to 40 of about 287,687 (294)

Estimating energy consumption based on natural terrain classification for mobile robots

open access: yesNihon Kikai Gakkai ronbunshu, 2016
This paper presents a novel algorithm that estimates energy consumption of exploration robots for the efficient mobility in natural terrain. The energy estimation method is beneficial to the energy management problem to establish the robot autonomy ...
Kyohei OTSU, Takashi KUBOTA
doaj   +1 more source

Remote sensing of Earth terrain [PDF]

open access: yes
Remote sensing of earth terrain is examined. The layered random medium model is used to investigate the fully polarimetric scattering of electromagnetic waves from vegetation. The model is used to interpret the measured data for vegetation fields such as
Arnold, David V.   +6 more
core   +8 more sources

Terrain Classification in Complex Three‐dimensional Outdoor Environments [PDF]

open access: yesJournal of Field Robotics, 2014
This paper presents two techniques to detect and classify navigable terrain in complex three‐dimensional (3D) environments. The first method is a low level on‐line mechanism aimed at detecting obstacles and holes at a fast frame rate using a time‐of‐flight camera as the main sensor.
Santamaria Navarro, Àngel   +3 more
openaire   +4 more sources

A Smart Terrain Identification Technique Based on Electromyography, Ground Reaction Force, and Machine Learning for Lower Limb Rehabilitation

open access: yesApplied Sciences, 2020
Automatic terrain classification in lower limb rehabilitation systems has gained worldwide attention. In this field, a simple system architecture and high classification accuracy are two desired attributes.
Shuo Gao   +3 more
doaj   +1 more source

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua   +3 more
doaj   +1 more source

Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network

open access: yesRemote Sensing
Surface, terrain, or even atmosphere analysis using images or their fragments is important due to the possibilities of further processing. In particular, attention is necessary for satellite and/or drone images.
Antoni Jaszcz, Dawid Połap
doaj   +1 more source

Improving Robot Mobility by Combining Downward-Looking and Frontal Cameras

open access: yesRobotics, 2016
This paper presents a novel attempt to combine a downward-looking camera and a forward-looking camera for terrain classification in the field of off-road mobile robots. The first camera is employed to identify the terrain beneath the robot.
Ramon Gonzalez   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Machine learning for automated avalanche terrain exposure scale (ATES) classification [PDF]

open access: yesNatural Hazards and Earth System Sciences
Avalanche risk management is essential for backcountry safety. The Avalanche Terrain Exposure Scale (ATES) classifies mountain terrain based on its potential exposure to avalanche hazards and supports mountain visitors in their terrain assessment ...
K. Markov   +10 more
doaj   +1 more source

Expanding sensor networks to automate knowledge acquisition [PDF]

open access: yes, 2011
The availability of accurate, low-cost sensors to scientists has resulted in widespread deployment in a variety of sporting and health environments. The sensor data output is often in a raw, proprietary or unstructured format.
Conroy, Kenneth   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy