124 lines
5.5 KiB
C#
124 lines
5.5 KiB
C#
using System;
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using System.Threading;
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using MultiWheelC.TrajectoryPlanning.Utils;
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namespace MultiWheelC.TrajectoryPlanning.Mapping;
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/// <summary>针对行主序二值栅格计算精确欧氏距离平方的内部算法。</summary>
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internal static class EuclideanDistanceTransform
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{
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/// <summary>
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/// 计算每个栅格到最近障碍栅格的距离平方。
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///
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/// 参数:occupied 为行主序占据数组,非零表示障碍;rows、cols 为数组尺寸。
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/// 返回:行主序距离平方数组,单位为栅格边长的平方;不含任何 mm 或 m 换算。
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/// </summary>
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public static double[] ComputeSquaredDistances(byte[] occupied, int rows, int cols)
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{
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if (!TryComputeSquaredDistances(occupied, rows, cols, PlanningOperationBudget.Unlimited(CancellationToken.None),
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out double[] squared, out _))
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throw new InvalidOperationException("Unbounded Euclidean distance transform unexpectedly stopped.");
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return squared;
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}
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/// <summary>使用共享预算计算距离平方;停止时不返回部分数组。</summary>
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internal static bool TryComputeSquaredDistances(byte[] occupied, int rows, int cols, PlanningOperationBudget budget,
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out double[] squaredDistances, out PlanningOperationStopReason stopReason)
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{
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if (occupied == null) throw new ArgumentNullException(nameof(occupied));
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if (budget == null) throw new ArgumentNullException(nameof(budget));
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squaredDistances = null;
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stopReason = budget.GetStopReason();
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if (stopReason != PlanningOperationStopReason.None) return false;
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double noObstacleDistanceSquared = (double)rows * rows + (double)cols * cols + 1d;
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var intermediate = new double[occupied.Length];
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var result = new double[occupied.Length];
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var input = new double[Math.Max(rows, cols)];
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var output = new double[Math.Max(rows, cols)];
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int workItemCount = 0;
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for (int row = 0; row < rows; row++)
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{
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int offset = row * cols;
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for (int col = 0; col < cols; col++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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input[col] = occupied[offset + col] == 0 ? noObstacleDistanceSquared : 0d;
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}
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if (!TryTransform1D(input, cols, output, budget, ref workItemCount, out stopReason)) return false;
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for (int col = 0; col < cols; col++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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intermediate[offset + col] = output[col];
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}
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}
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for (int col = 0; col < cols; col++)
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{
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for (int row = 0; row < rows; row++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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input[row] = intermediate[row * cols + col];
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}
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if (!TryTransform1D(input, rows, output, budget, ref workItemCount, out stopReason)) return false;
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for (int row = 0; row < rows; row++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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result[row * cols + col] = output[row];
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}
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}
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squaredDistances = result;
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stopReason = PlanningOperationStopReason.None;
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return true;
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}
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private static bool TryTransform1D(double[] f, int length, double[] result, PlanningOperationBudget budget,
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ref int workItemCount, out PlanningOperationStopReason stopReason)
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{
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var locations = new int[length];
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var boundaries = new double[length + 1];
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int k = 0;
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locations[0] = 0;
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boundaries[0] = double.NegativeInfinity;
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boundaries[1] = double.PositiveInfinity;
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for (int q = 1; q < length; q++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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double intersection;
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do
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{
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int p = locations[k];
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intersection = ((f[q] + (double)q * q) - (f[p] + (double)p * p)) / (2d * (q - p));
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if (intersection <= boundaries[k])
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{
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k--;
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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}
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} while (k >= 0 && intersection <= boundaries[k]);
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if (k < 0)
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{
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k = 0; locations[0] = q; boundaries[0] = double.NegativeInfinity; boundaries[1] = double.PositiveInfinity;
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}
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else
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{
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k++; locations[k] = q; boundaries[k] = intersection; boundaries[k + 1] = double.PositiveInfinity;
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}
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}
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k = 0;
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for (int q = 0; q < length; q++)
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{
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stopReason = budget.CheckEvery(ref workItemCount);
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if (stopReason != PlanningOperationStopReason.None) return false;
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while (boundaries[k + 1] < q) k++;
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double delta = q - locations[k];
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result[q] = delta * delta + f[locations[k]];
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}
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stopReason = PlanningOperationStopReason.None;
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return true;
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}
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}
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