Results 31 to 40 of about 2,247,232 (285)

Gyroscope explorer terrain angles classification [PDF]

2016 IEEE East-West Design & Test Symposium (EWDTS), 2016
Mobile Applications (Apps) offer numerous advantages related to entertainment, communication, monitoring and sensing to name a few. In this study, a Gyroscope Explorer Apps is employed for data gathering of azimuth, pitch, and roll. The mobile phone is carried by Lego Mindstorms (EV3), in which it travels the ladder into the different angles: 4.13°, 7 ...
Christofer N. Yalung, Salah S. Al-Majeed, Cid Mathew Adolfo, Jalal Karam, Lela Mirtskhulava   +4 more
openaire   +2 more sources

Visual terrain classification by flying robots [PDF]

2012 IEEE International Conference on Robotics and Automation, 2012
In this paper we investigate the effectiveness of SURF features for visual terrain classification for outdoor flying robots. A quadrocopter fitted with a single camera is flown over different terrains to take images of the ground below. Each image is divided into a grid and SURF features are calculated at grid intersections.
Yasir Niaz Khan, Andreas Masselli, Andreas Zell   +2 more
openaire   +1 more source

A Robust Polarmetric SAR Terrain Classification Based on Sparse Deep Autoencoder Model Combined With Wavelet Kernel-Based Classifier

IEEE Access, 2020
Since the existing terrain classification algorithm based on deep learning is not ideal for unbalanced PolSAR classification, a effective terrain classification algorithm based on wavelet kernel sparse deep coding network under unbalanced data set is ...
Xiangdong Chen, Jianghong Deng
doaj   +1 more source

Development of unified classifier of special terrain maps using geoinformation technologies

Журнал Белорусского государственного университета: География, геология, 2022
A method for creating a unified classifier of special terrain maps using geoinformation technologies is presented. The existing classifiers of maps of the operational and tactical situation, special and topographic terrain maps used in the Armed Forces ...
Aliaksei S. Cherenko
doaj   +1 more source

Feature-based terrain classification for LittleDog [PDF]

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Recent work in terrain classification has relied largely on 3D sensing methods and color based classification. We present an approach that works with a single, compact camera and maintains high classification rates that are robust to changes in illumination.
Paul Filitchkin, Katie Byl
openaire   +2 more sources

Terrain Preview Detection and Classification in Unstructured Scenes Based on Vision and Laser Fusion With Deep Learning

IEEE Access
The safety and ride comfort of the emergency rescue vehicle can be improved greatly when the prior knowledge of the terrain in front of the vehicle is used as the active suspension input.
Lili Wang, Shihao Li, Fei Yang, Xumin Jiang, Zihao Chen, Kai Miao, Lei Zhao, Junqing Gao   +7 more
doaj   +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

Integrating Machine Learning with Open-Source GIS for Reproducible High-Resolution Terrain Classification and Hazard Mapping from UAV LiDAR Data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study provides an approachable, open-source methodology for terrain classification and hazard-susceptibility mapping based on UAV LiDAR, geomorphometry, and machine learning.
N. Kranjčić, O. Bjelotomić Oršulić, H. Matijević, S. Vranić   +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

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