Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Can Wang"'
Publikováno v:
RCAR
This paper proposed a method to detect cliff edge by using an RGB-D camera, and then to fuse the cliff information with LiDAR, finally to provide navigation information for robot autonomous exploration and autonomous movement. Compared with the prior
Publikováno v:
AIM
Bio-inspired robots have attracting increasing attention in robotics. The paper proposes a novel swan-inspired unmanned aerial vehicle to realize flexible environmental perception. The developed UAV is inspired from the biological structure of a swan
Publikováno v:
ICIA
Fast and accurate detection of the object’s species and position are prerequisites for improving the efficiency of the UAV’s grasping and transporting. Accurate detection of the optimal grasping box for different objects is the guarantee to impro
Publikováno v:
ICIA
Due to the low weight of monocular camera, monocular Simultaneous Localization and Mapping (SLAM) is an area of popular research and promotes countless applications of micro Unmanned Aerial Vehicles (UAVs), especially in some GPS-denied indoor enviro
Publikováno v:
ICIA
Many indoor navigation robots use structured light vision measurement systems (SLVMS) for mapping, localization, and obstacle avoidances. In these systems, the extraction of light stripe skeleton directly affects the accuracy of the final measurement
Publikováno v:
ICIA
As an important branch of computational photography, light field photography combines the hardware design of optical system with key algorithm of signal processing quite well. Unlike traditional photography which can only record light ray's two-dimen
Publikováno v:
ROBIO
Learning the scene correlation of uncalibrated static cameras is in increasing demand for intelligent surveillance system, such as making a inference of topology, or allocating computation resources for video retrieval in multirobot system. However,
Publikováno v:
ROBIO
It is a significant problem to learn the scene correlation of uncalibrated static cameras, which can be applied for intelligent surveillance systems with a large scale camera network. Some existing approaches learn the scene correlation among camera
Publikováno v:
ICASSP
Optical flow is widely used for describing motion cues in the scene, but limited by slow estimating speed and illumination sensitivity. To handle both problems, this paper focuses on improving speed and accuracy of optical flow using RGB-D data and e
Publikováno v:
MFI
In visual tracking field, multi-cue integration has been researched extensively, but only color-based method still suffers from illumination changes, color-similar background or complete occlusion. To overcome these shortages, this paper presents an