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In the recent years, contour-based shape representation is an important issue in the object recognition research area. In this paper, a new shape descriptor A-DCE is proposed based on DCE and DP for contour deformation and recognition. Firstly, the object contour is evolved adaptively by DCE to extract the contour information with important visual parts. Secondly, the costing feature descriptor is...
The advent of low-cost, functional robots has promoted swarm robotics research. However, an area of research that is yet untouched is how these types of robots could aid in teaching STEM subjects. In particular, there is little work concerning mathematics at the elementary level. The Kilobot robot's size, cost, and functionality offers a good test-bed to explore its use as a pedagogical tool. This...
This paper is concerned with the formation method for multi-robot systems with obstacles. Consensus formation cannot avoid obstacles in the process of movement, and algorithms based on relative distances are not applicable to the situations requiring rigid topology. An algorithm has been designed combining consensus protocols and the modified artificial potential field method for the second-order...
In traffic video surveillance system, target-level tracking and feature-level tracking are two important areas for research. Therefore, the combination between them is an interesting question. Mean-shift is a traditional target-level tracking algorithm with no adaptation to vehicle scale and orientation change. In order to solve the problem, algorithm combine SURF (speed-up robust feature) feature...
In this paper, a mutual information (MI) and Extreme Learning Machine (ELM) based inverse reinforcement learning (IRL) algorithm, which termed as MEIRL, is proposed to construct nonlinear reward function. The basic idea of MIIRL is that, similar to GPIRL, the reward function is learned by using Gaussian process and the importance of each feature is obtained by using automatic relevance determination...
In this paper the concept of a novel software tool for dynamic generation of technical documentation of medical devices is presented. The system is based on a relational database and increases reciprocity between sections of the technical documentation (e.g. intended purpose, classification, risk analysis, verifications and tests) through relational links. An algorithm for semi-automatic classification...
Multi-UAVs dynamic task allocation is a hot issue currently in the field of unmanned combat command and control. The dynamic task allocation problem for unexpected new tasks appear in battle field is the focus of this study. In order to fulfill the requirements of time and communication complexity, firstly, this paper establishes a state information model of UAV and UAV groups based on the grouping...
This paper presents a novel approach of vision stabilization, potentially applied to mobile robot or unmanned vehicle, which is inspired by the characteristics of human eye. Vision information processing is a key technology of intelligent mobile platform. However, in some condition, such as the vision module mount on the vehicle moving on the rugged ground, the system could not acquire stable vision,...
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