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README.md
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**PPFT**: Path Planning on Fifty x Thirty
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Our dataset consists of 100 manually selected 50 × 30 maps from a randomly generated collection, each with 10 different start and goal positions. Therefore, there are 1000 samples in total (see Figure 1 for sample visualization). Our data conform to the standard of search-based algorithm environments in a continuous space. Each map includes the following parameters:
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These parameters define the structure and constraints of each map, ensuring consistency and relevance to the standard experimental environment conditions for search-based algorithms. Meanwhile, the map environment is able to scale properly for scalability experiment.
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**PPFT**: Path Planning on Fifty x Thirty <br>
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Our dataset consists of 100 manually selected 50 × 30 maps from a randomly generated collection, each with 10 different start and goal positions. Therefore, there are 1000 samples in total (see Figure 1 for sample visualization). Our data conform to the standard of search-based algorithm environments in a continuous space. Each map includes the following parameters:
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- x range: The minimum and maximum x-coordinates of the environment boundary range as [x min, x max].
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- y range: The minimum and maximum y-coordinates of the environment boundary range as [y min, y max].
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- horizontal barriers: List of horizontal barriers, each represented as [y, x start, x end].
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- vertical barriers: List of vertical barriers, each represented as [x, y start, y end].
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- start goal: List of 10 unique start and goal positions for each map.
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These parameters define the structure and constraints of each map, ensuring consistency and relevance to the standard experimental environment conditions for search-based algorithms. Meanwhile, the map environment is able to scale properly for scalability experiment.
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