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In this research, we present a new algorithm for trajectory generation of two-wheeled mobile robots. The proposed methods is based on Rapidly exploring Random Tree (RRT) method and expands its structure with two different tree structure. By using dual tree, the proposed scheme can generate feasible path with low cost.
Path planning for autonomous parking control is difficult and complicated because of its non-holonomic constraints. We proposed the parking path planner KPP (Korea University Path Planner) in our prior work. The purpose of this paper is to prove the advantages of KPP through quantitative and qualitative analyses. Numerical simulations have been carried out for comparison. This paper shows that KPP...
As one of the dominant features in the road environment, the curbs provide useful information for navigation. However, when the uncertainty model does not defined correctly, the road curb does not contribute to the estimated robot pose. In order to solve this problem, we propose the integrated localization scheme using curb features on the basis of uncertainty model of road curb. The uncertainty model...
This paper proposes a global localization method using reflectors for mobile robots. Where the natural feature is not clear, the localization using only natural features is difficult. Furthermore, where the surrounding environment is changed frequently, there is a problem needs to be updated the global map each time. For these, we propose a global localization using reflectors. Global localization...
A car parking control problem is difficult because of its non-holonomic constraints and complicated environmental geometry. We proposed Korea University Path Planner (KPP) in our prior work. KPP is an appropriate scheme for a car-like mobile robot in a parking environment. The purpose of this paper is to investigate the advantages of KPP through both quantitative and qualitative analyses. For comparison,...
A car parking control problem is difficult because of nonholonomic constraints and complicated environmental geometry. We proposed KPP (Korea University Path Planner) in our prior work. KPP is a appropriate scheme for a car-like mobile robot in a parking environment. The purpose of this paper is to investigate the advantages of KPP through both quantitative and qualitative analyses. For comparison,...
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