In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …

Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

Image semantic segmentation has received great attention in computer vision, whose aim is
to segment different objects and provide them different semantic category labels so that the …

In the production and construction of industry, safety accidents caused by unsafe behaviors
of staff often occur. In a complex construction site scene, due to improper operations by …

Mobile robots have an important role in material handling in manufacturing and can be used
for a variety of automated tasks. The accuracy of the robot's moving trajectory has become a …

In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …

In order to ensure stable gripping performance of manipulator in a dynamic environment, a
target object grab setting model based on the candidate region suggestion network is …

Gesture recognition technology is widely used in the flexible and precise control of
manipulators in the assisted medical field. Our MResLSTM algorithm can effectively perform …

Abstract 3D target detection is a research hotspot in recent years. In the field of autonomous
driving, 3D target detection is mainly targeted at outdoor scenes that the camera height is …