RESEARCH BACKGROUND In the last decades, GNSS navigation has been much improved, compared to survey-grade equipment, low-cost devices performance is not satisfied market demands. Many particular scenarios such as offline shopping or open-air parking need high accuracy positioning. Because the raw GNSS data is unavailable, prior researchers can only […]
Yearly Archives: 2018
RESEARCH BACKGROUND The open access to GNSS raw measurements on Android smartphones is important for both the development of GNSS and smartphones, as we may experience higher accuracy LBS (Location Based Service) with lower cost devices in the future. Nowadays the ultra-low cost GNSS chipset in smartphone has the characteristics […]
Hand gesture recognition algorithm based on depth vision combined with statistical image processing and shallow CNN 3D-AI GROUP With the rapid development of artificial intelligence technology, hand gesture recognition is becoming one of the most effective and important ways of human-computer interaction. In this paper, the problem of hand gesture […]
A Test Dataset for GNSS and INS Integrated Positioning Technology in Different Types of Environment A novel dataset is proposed to provide the raw data of GNSS signal and inertial measurement unit (IMU) for receiver testing. The data of GNSS signal mainly contain two types which are the digital […]
AS SLAM is a versatile, robust SLAM technique: It can be used in various environment and adequate to various of sensors including stereo camera, GNSS, LIDAR, IMU, optical flow etc. In the front end, the system pose is tracked using the combined features abstracted from sensors; In the back end, […]