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High precision localization is essential to autonomous control of unmanned vehicles (mobile robots). Most existing methods for localization are either complex and costly, or bear low accuracy and poor robustness. In this work, a structurally simple and functionally effective localization system is designed and developed for snowplow robots with successful on-site application. The major hardware involved...
This paper proposes a method for rapid and continuous monitoring of slope deformation by using terrestrial optical photogrammetry. This slope monitoring method is non-contact and has a high speed to calculate the position and displacement of slope points, which can be applied to the continuous observation and disaster warning of the problem area of the slope. The theory of this method is to obtain...
Wireless Multimedia Sensor Networks (WMSN) has been one challenge category of special wireless sensor networks. Different-view videos captured by cameras in various different locations are typical multi-view videos. In order to reduce transmission quantity and conserve nodes' energy, traditional multi-view video coding approaches are long suitable for WMSN. In this paper, we propose a multi-view video...
The paper proposes an approach to estimate the eye openness degree and 6DOF head pose with RGBD camera. A novel face localization method based on combination of 3D points cloud and RGB texture is proposed, which is robust against the interferences from background and foreground. The eye openness degree is estimated by a statistical model based on Mahalanobis distance, which is reliable even with glasses...
In the paper the self-calibration bundle block adjustment technique based on the additional parameters is applied to the airborne linear CCD sensor ADS40 geometric calibration. Upon the detailed investigation on the imaging error properties of the three linear CCD sensor, the suitable sensor calibration parameter model is built up, and then the self-calibration bundle block adjustment model for the...
This paper proposes an image transmission method based on the compression cost estimation for solving the problems of communication overloading in the wireless multimedia sensor networks. Firstly, according to the relative information entropy among the multimedia sensors, correlation comprehensive degrees of the nodes have been obtained. Then, before the image data are transmitted, energy consumption...
A depth map represents three-dimensional (3D) scene information and is used to synthesize virtual views in 3D video. Since the quality of synthesized virtual views highly depends on the quality of depth map, efficient depth compression is crucial to realize the 3D video system. However compressing depth map using existing video coding techniques yields unacceptable distortions while rendering virtual...
Inkjet etching has been identified as a potential route to formation of micro via holes in polymer dielectrics. Such vias could facilitate three-dimensional integration and sequential build-up fabrication in printed electronics. In the research reported in this paper, ethanol droplets were jetted onto a poly(4-vinyl phenol) (also known as PVP or PVPh) layer at different frequencies in order to observe...
This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective...
This paper presents a patented three-dimensional (3D) shape measurement system, ReCreator, which is mainly composed of two CCD cameras and a random pattern projector with fixed geometry. It can work in the binocular mode, where the stereo image pair is utilized to reconstruct the 3D point cloud in the common field of view of the two cameras; while in the monocular mode, each single camera and the...
Feature extraction and classification are two of the most important modules of any vision-based pedestrian detection system, since they are critical to the performance of the system as a whole. This paper presents the feature extraction and classification modules of a vision-based pedestrian detection system using a vehicle-mounted monochrome camera. The feature extraction module includes two kinds...
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