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Chapter and Conference Paper
Spatial Resolution of Mesoscopic Shapes Presented by Airborne Ultrasound
This study determined the spatial resolution of the virtual surface profile created by ultrasound haptic stimulation. We assumed the case where a finger moves along the surface of a virtual object. This object...
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Chapter and Conference Paper
Sound Pressure Field Reconstruction for Ultrasound Phased Array by Linear Synthesis Scheme Optimization
Ultrasound phased array is a device that is usually used to provide mid air tactile sensations like three-dimensional shape haptics images by generating various specific sound fields. Forming foci for the ultr...
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Chapter and Conference Paper
Comparing Lateral Modulation and Amplitude Modulation in Phantom Sensation
Phantom Sensation (PhS) is a tactile illusion in which a single sensation is elicited by stimulating two distant points. That sensation moves continuously between the two stimuli by changing the amplitude rati...
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Chapter and Conference Paper
How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment
Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users t...
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Chapter and Conference Paper
Influence of Position and Interface for Central Control Screen on Driving Performance of Electric Vehicle
Thanks to the rapid development of information technology, automobile intelligence, network has become the trend of automobile industry development. And central control screen is one of the important branch on...
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Chapter and Conference Paper
A Systematic Review of Game Learning Research in China
In recent years, researchers have recognized the educational value of games and gradually introduced them into classroom teaching. With the development of internet technology, the online game industry is also ...
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Chapter and Conference Paper
Farmland Weed Species Identification Based on Computer Vision
In order to alleviate the difficulties in collecting indexes for the analysis of farmland weed communities, we implemented a computer vision technology-based method for the identification of farmland weeds at ...
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Chapter and Conference Paper
Remote Sensing Monitoring of Drought Based on Landsat8 and NDVI-Ts Characteristic Space Method
Drought has an important impact to agriculture, and its monitoring is very necessary for many regions subjected to drought in Shandong province. Gaomi city of Shandong was chosen as a study area to probe remot...
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Chapter and Conference Paper
Summary of Agricultural Drought Monitoring by Remote Sensing at Home and Abroad
Drought is one of the major natural disasters which causes very severe impacts on economy and society, remote sensing is the efficient method which can dynamic monitor drought at a great range of scale, the re...
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Chapter and Conference Paper
Growth and Spectral Characteristics of Grassland in Response to Different Soil Textures
Biomass and the chlorophyll content are important indicators to measure the growth and development of grasslands. Modeling using hyperspectral data is an important means to monitor grassland growth and develop...
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Chapter and Conference Paper
Modeling Pilots’ Operation Error Based on Fitts’ Law
Pilot error has long been a threat to aviation safety. Predicting pilot error can provide cockpit designers with useful information to reduce the possibility of pilot error and cost of training, improve the s...
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Chapter and Conference Paper
Philosophical Principles of Data Discovery
Data discovery is a basis in science and technology research because of nothing to do in case of no data. So, it is very important to find data. Where is the data? Data exists in the research objects which inc...
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Chapter and Conference Paper
Gamification of In-Flight Entertainment (IFE) to Motivate People to Relax: A Case Design
This study researched the gamification of in-flight entertainment (IFE). Some previous studies have focused on IFE technology implementation and hardware research; however, few studies have focused on the user...
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Chapter and Conference Paper
Online High-Accurate Calibration of RGB+3D-LiDAR for Autonomous Driving
Vision+X has become the promising tendency for scene understanding in autonomous driving, where X may be the other non-vision sensors. However, it is difficult to utilize all the superiority of different senso...
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Chapter and Conference Paper
Efficient Deep Belief Network Based Hyperspectral Image Classification
Hyperspectral Image (HSI) classification plays a key role remote sensing field. Recently, deep learning has demonstrated its effectiveness in HSI Classification field. This paper presents a spectral-spatial HS...
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Chapter and Conference Paper
Lagrange Detector in Image Processing
Edge detection is a basic operation in the field of image processing and computer vision. However, to the best of our knowledge, there is less mathematical work has been proposed beyond the first- and the seco...
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Chapter and Conference Paper
Real-Time Multi-camera Video Stitching Based on Improved Optimal Stitch Line and Multi-resolution Fusion
In this paper, we propose a multi-camera video stitching method based on an improved optimal stitch line and multi-resolution for real-time application. First, phase correlation is used to estimate overlap**...
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Chapter and Conference Paper
An Online Approach for Gesture Recognition Toward Real-World Applications
Action recognition is an important research area in computer vision. Recently, the application of deep learning greatly promotes the development of action recognition. Many networks have achieved excellent per...
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Chapter and Conference Paper
A Variational Model to Extract Texture from Noisy Image Data with Local Variance Constraints
Variational image denoising is one of the most successful methods to recover an image that has been blurred and corrupted with additive noise. However, the Lagrange multiplier of many variational model is glob...
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Chapter and Conference Paper
Boosting CNN-Based Pedestrian Detection via 3D LiDAR Fusion in Autonomous Driving
Robust pedestrian detection has been treated as one of the main pursuits for excellent autonomous driving. Recently, some convolutional neural networks (CNN) based detectors have made large progress for this g...