Results 31 to 40 of about 26,694 (289)

Polarimetric SAR Terrain Classification Using Polarimetric Features Derived from Rotation Domain

Leida xuebao, 2017
Terrain classification is an important application for understanding and interpreting Polarimetric Synthetic Aperture Radar (PolSAR) images. One common PolSAR terrain classification uses roll-invariant feature parameters such as H/A/a/SPAN.
Tao Chensong, Chen Siwei, Li Yongzhen, Xiao Shunping   +3 more
doaj   +1 more source

Haptic terrain classification for legged robots [PDF]

2010 IEEE International Conference on Robotics and Automation, 2010
2010 IEEE International Conference on Robotics and ...
Mark A. Höpflinger, C. David Remy, Marco Hutter 0001, Luciano Spinello, Roland Siegwart   +4 more
openaire   +2 more sources

Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment

, 2007
This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness.
Prior, Stephen D., Odedra, Siddharth, Mehmet Karamanoglu, Siddharth Odedra, Stephen D. Prior, Karamanoglu, Mehmet   +5 more
core   +1 more source

Estimating energy consumption based on natural terrain classification for mobile robots

Nihon 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

Polarimetric SAR Image Terrain Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
In practical applications of automated terrain classification from high-resolution polarimetric synthetic aperture radar (PolSAR) imagery, different terrain types may inherently contain a high level of internal variability, as when a broadly defined class (e.g., “trees”) contains elements arising from multiple subclasses (pine, oak, and willow).
R. Derek West, Thomas E. LaBruyere III, Jacek Skryzalin, Katherine M. Simonson, Ross L. Hansen, Mark H. Van Benthem   +5 more
openaire   +1 more source

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

Applied 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, Yixuan Wang, Chaoming Fang, Lijun Xu   +3 more
doaj   +1 more source

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

IEEE 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, Cong Zhang, Wen Xie, Xiaomin Jin   +3 more
doaj   +1 more source

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

Remote 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

Robotics, 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, Alejandro Rituerto, José J. Guerrero   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced 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, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source