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In this paper, we propose a novel approach based on online learning for accurate and effective detection of abandoned objects. Most existing methods for abandoned objects detection only detect abandoned objects without considering of the logic owner of the abandoned object. These methods need an advanced trained human detector to discriminate abandoned objects from still persons frequently. However,...
The objective of this study is to show the applications of the simulation implementation of QNX identified model combining with Matlab/Simulink platform, QNX C/C++ compiler and QNX real-time operating system. The HIT/DLR Hand II dexterous hand QNX real-time simulation model is generated by the Simulink platform and QNX C/C++ compiler link files. Moreover, this model can be implemented in the QNX real-time...
Robotic path planning in changing environments with difficult regions is an extremely challenge. Since the structure of configuration space (C-space) will change when obstacles move in workspace (W-space), the planner should have the capacity of building approximate structure of C-space, while avoiding intense computational complexity. Further, difficult regions will also change their positions, which...
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