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Optimal Global Path Planning in Time Varying Environments Based on a Cost Evaluation Function

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AI 2008: Advances in Artificial Intelligence (AI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5360))

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Abstract

This paper describes a unique and optimal method for real-time global path planning and collision avoidance for navigation of a mobile robot in complex time varying environments. Occupancy based 3D grid map and Gaussian distribution model based obstacle prediction are employed to represent the dynamic environment. Path planning and obstacle avoidance are performed by applying a cost-evaluation function on time-space Distance Transforms to uniquely produce the optimal path at the time of planning. Experimental results are presented verifying the effectiveness and versatility of the algorithm in both predictable and imperfectly predictable time varying environments.

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© 2008 Springer-Verlag Berlin Heidelberg

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Gupta, O.K., Jarvis, R.A. (2008). Optimal Global Path Planning in Time Varying Environments Based on a Cost Evaluation Function. In: Wobcke, W., Zhang, M. (eds) AI 2008: Advances in Artificial Intelligence. AI 2008. Lecture Notes in Computer Science(), vol 5360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89378-3_15

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  • DOI: https://doi.org/10.1007/978-3-540-89378-3_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89377-6

  • Online ISBN: 978-3-540-89378-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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