The Cobb angle measurement of the scoliotic spine is prone to inter-and intra-observer
variations in the clinical setting. This paper proposes a deep learning architecture for …

Multi-camera vision is widely used for guiding the machining robot to remove flash and burrs
on complex automotive castings and forgings with arbitrary initial posture. Aiming at the …

Featured Application The algorithms proposed in this paper can be applied to a wide range
of infrastructure projects in the pre-survey process with the advantages of low cost and high …

Satellites extend the 5G Internet of Things (IoT) applications to remote areas by providing
global coverage. In applications like environmental and wildlife monitoring, the location …

Multiple object tracking (MOT) is a fundamental issue and has attracted considerable
attention in the autonomous driving community. This paper presents a novel MOT framework …

The deep neural network shows excellent performance on a single task. However, deep
neural networks performance degraded when trained continuously on a sequence of new …

Tomato localization is the main difficulty of tomato picking robots vision system. To provide
robots vision system with the accurate position of tomatoes, this paper collects images with a …

The tremendous success of deep learning on object detection tasks compels researchers to
adopt deep learning models for autonomous driving vehicles. As autonomous driving …

Convolutional neural networks (CNNs) have been widely used in bearing fault diagnosis
and have achieved promising results. However, due to interference from cage rotation …

Based on the application in the field of photogrammetry, this paper retrospects the binocular
image dense matching method. First, the two categories of local dense image matching and …