Yeping Peng - IEEE Xplore Author Profile

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Binocular stereo matching is a crucial task in autonomous driving for accurately estimating the depth information of objects and scenes. This task, however, is challenging due to various ill-posed regions within binocular image pairs, such as repeated textures and weak textures which present complex correspondences between the points. Existing methods extract features from binocular input images m...Show More
Agriculture plays a fundamental role in sustaining human existence. In comparison to the past century, modern agricultural technology has witnessed rapid advancements today. Given the exponential growth of population and the adverse effects of extreme weather conditions, effectively enhancing crop yields remains an imperative issue that demands global attention. Artificial Intelligence (AI) is now...Show More
Monitoring crop growth is of great significance to obtain crop growth status information for development of smart agriculture. The traditional way to measure the phenotypic parameters of crops is labor-intensive and encounters inconvenient operations. In this study, we propose to obtain the phenotypic parameters of crops from 3-D reconstruction of plants from single RGB images using a data-driven ...Show More
Monitoring plant growth is essential in modern agriculture to guarantee productivity. Since manual measurement of plant characteristics is laborious and expensive, automatic measures are desirable. This can be accomplished by methods such as vision-based structure from motion (SFM) to obtain the 3-D information of a plant. An SFM method based on binocular vision is here developed to acquire the ph...Show More
To accomplish reliable pedestrian detection using unmanned aerial vehicles (UAVs) under night-time conditions, an image enhancement method is developed in this article to improve the low-illumination image quality. First, the image brightness is mapped to a desirable level by a hyperbolic tangent curve. Second, the block-matching and 3-D filtering methods are developed for an unsharp filter in YCb...Show More
The reported simultaneous localization and mapping (SLAM) methods show satisfactory object detection results in static environments. However, most of them cannot be directly applied in the moving object detection in various environments due to high detection errors. This work is focused on developing a new method to solve the problem of moving object detection under dynamic environment. To this en...Show More
A distributed database of cloud platform for the lower-limb exoskeleton robot is developed in this paper, which is to solve the problem of large data storage when long-term monitoring of multiple exoskeleton robots. The architecture of the cloud platform is present. In terms of the data information of the robot and human body, a distributed database is built by using MyCat and MySQL. The interface...Show More
Digital images captured in hazy outdoor environments, due to particle disturbance and air-light intervention, often suffer from loss of contrast and color distortion. These images are incapable of providing valuable information to viewers. To recover the haze-free counterpart, an image-fusion based algorithm is here proposed. The transmission factor, representing the haze severity, is found closel...Show More
Segmentation is a critical element in image processing since it can divide the image into various smaller regions for faster processing in later stages. Colour and shape, as the most distinguishable visual features in describing visual objects, have been adopted by many researchers as important information sources in image segmentation. In this work, an image segmentation approach is proposed that...Show More
The Bare Bones Particle Swarm Optimization (BBPSO), because of its implementation simplicity, has been a popular swarm-based metaheuristic algorithm for solving optimization problems. However, as found in its many variants, their search behaviors were not considered in the design. Instead of employing heuristics, we formulate a low complexity particle swarm optimizer, called the First-Order Bare B...Show More
This paper proposes a position estimation method for a planar switched reluctance motor (PSRM). In the method, a second-order sliding mode observer (SMO) is used to achieve sensorless control of a PSRM for the first time. A sensorless closed-loop control strategy based on the SMO without a position sensor for the PSRM is constructed. The SMO mainly consists of a flux linkage estimation, an adaptiv...Show More
Electric distribution cabinets are critical components in the power distribution pipeline. Surface defect detection plays an important role in the production process. It not only guarantees product quality but also affects the brand reputation. In particular, the boundaries of metallic cabinets are more vulnerable to be damaged than other surface areas. Thus, boundary defect detection is a bottlen...Show More
This paper presents the design, control, and experimental performance evaluation of a long-stroke planar switched reluctance motor (PSRM) for positioning applications. Based on comprehensive consideration of the electromagnetic and mechanical characteristics of the PSRM, a motor design is first developed to reduce the force ripple and deformation. A control scheme with LuGre friction compensation ...Show More
Contrast enhancement is a fundamental and important process in image based applications, which often require the image to provide the viewer with the maximum amount of details from the captured scene. This objective can be accomplished by maximizing the information content of the image. Instead of modifying the image histogram as in most equalization methods, we propose to firstly process the imag...Show More
Machine vision-based object detection techniques have been widely used in product inspection, defect detection, and dimension measurement. These techniques have largely improved the efficiency of industrial production and increased the level of production autonomy. However, demands on advance hardware design and image processing algorithms are needed for the quality inspection of a large-complexsu...Show More