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, we design the unified optimization and mapping algorithms. It is able to autonomously initialize itself. The structure of AS SLAM is showed below.
RESEARCH BACKGROUND The open access to GNSS raw measurements on Android smartphones is important for both the development of GNSS and smartphones, […]
RESEARCH BACKGROUND In the last decades, GNSS navigation has been much improved, compared to survey-grade equipment, low-cost devices performance is not […]
Hand gesture recognition algorithm based on depth vision combined with statistical image processing and shallow CNN 3D-AI GROUP With the rapid development […]
The dataset is recorded by SmartToF camera model TC-E2, which acquires depth images with a resolution of 320×240 at a frame rate […]
