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- W3116445001 abstract "The application of motion planning for autonomous vehicles has been primarily focused either in highly structured or unstructured environments. However, many environments in the real-world share the characteristics of both and can be classified as semi-structured. The adaptation of the strategies from other environments to that of semi-structured, although possible, do not produce trajectories with the required characteristics, especially when the environment is dynamic. To that end, this paper introduced a two-level hierarchical planning strategy consisting of a discrete lane-network-based global planner and a Hybrid A <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>*</sup> local planner that: (i) generates a smooth, safe and kinematically feasible path in real-time; (ii) considers structural constraints of the environment from an a priori map. Furthermore, a valid lane-network-based sub-goaling strategy is proposed for providing a reference goal during the local planning process. Simulation and live tests have been conducted to evaluate the functionality of the strategy in several case studies. The implementation choices of: (i) using an open-source highly automated driving (HAD) map framework, Lanelet2, (ii) developing as plugins to an open-source navigation stack, Move Base Flex (MBF), allow the proposed strategy to be easily adopted on other autonomous platforms." @default.
- W3116445001 created "2021-01-05" @default.
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- W3116445001 date "2020-09-20" @default.
- W3116445001 modified "2023-10-18" @default.
- W3116445001 title "Two-Level Hierarchical Planning in a Known Semi-Structured Environment" @default.
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- W3116445001 doi "https://doi.org/10.1109/itsc45102.2020.9294373" @default.
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