KdTree.cpp 5.7 KB

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  1. /*
  2. * KdTree.cpp
  3. * RVO2-3D Library
  4. *
  5. * Copyright 2008 University of North Carolina at Chapel Hill
  6. *
  7. * Licensed under the Apache License, Version 2.0 (the "License");
  8. * you may not use this file except in compliance with the License.
  9. * You may obtain a copy of the License at
  10. *
  11. * https://www.apache.org/licenses/LICENSE-2.0
  12. *
  13. * Unless required by applicable law or agreed to in writing, software
  14. * distributed under the License is distributed on an "AS IS" BASIS,
  15. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  16. * See the License for the specific language governing permissions and
  17. * limitations under the License.
  18. *
  19. * Please send all bug reports to <geom@cs.unc.edu>.
  20. *
  21. * The authors may be contacted via:
  22. *
  23. * Jur van den Berg, Stephen J. Guy, Jamie Snape, Ming C. Lin, Dinesh Manocha
  24. * Dept. of Computer Science
  25. * 201 S. Columbia St.
  26. * Frederick P. Brooks, Jr. Computer Science Bldg.
  27. * Chapel Hill, N.C. 27599-3175
  28. * United States of America
  29. *
  30. * <https://gamma.cs.unc.edu/RVO2/>
  31. */
  32. #include "KdTree.h"
  33. #include <algorithm>
  34. #include "Agent.h"
  35. #include "Definitions.h"
  36. namespace RVO {
  37. const size_t RVO3D_MAX_LEAF_SIZE = 10;
  38. KdTree::KdTree() { }
  39. void KdTree::buildAgentTree(std::vector<Agent *> agents)
  40. {
  41. agents_.swap(agents);
  42. if (!agents_.empty()) {
  43. agentTree_.resize(2 * agents_.size() - 1);
  44. buildAgentTreeRecursive(0, agents_.size(), 0);
  45. }
  46. }
  47. void KdTree::buildAgentTreeRecursive(size_t begin, size_t end, size_t node)
  48. {
  49. agentTree_[node].begin = begin;
  50. agentTree_[node].end = end;
  51. agentTree_[node].minCoord = agents_[begin]->position_;
  52. agentTree_[node].maxCoord = agents_[begin]->position_;
  53. for (size_t i = begin + 1; i < end; ++i) {
  54. agentTree_[node].maxCoord[0] = std::max(agentTree_[node].maxCoord[0], agents_[i]->position_.x());
  55. agentTree_[node].minCoord[0] = std::min(agentTree_[node].minCoord[0], agents_[i]->position_.x());
  56. agentTree_[node].maxCoord[1] = std::max(agentTree_[node].maxCoord[1], agents_[i]->position_.y());
  57. agentTree_[node].minCoord[1] = std::min(agentTree_[node].minCoord[1], agents_[i]->position_.y());
  58. agentTree_[node].maxCoord[2] = std::max(agentTree_[node].maxCoord[2], agents_[i]->position_.z());
  59. agentTree_[node].minCoord[2] = std::min(agentTree_[node].minCoord[2], agents_[i]->position_.z());
  60. }
  61. if (end - begin > RVO3D_MAX_LEAF_SIZE) {
  62. /* No leaf node. */
  63. size_t coord;
  64. if (agentTree_[node].maxCoord[0] - agentTree_[node].minCoord[0] > agentTree_[node].maxCoord[1] - agentTree_[node].minCoord[1] && agentTree_[node].maxCoord[0] - agentTree_[node].minCoord[0] > agentTree_[node].maxCoord[2] - agentTree_[node].minCoord[2]) {
  65. coord = 0;
  66. }
  67. else if (agentTree_[node].maxCoord[1] - agentTree_[node].minCoord[1] > agentTree_[node].maxCoord[2] - agentTree_[node].minCoord[2]) {
  68. coord = 1;
  69. }
  70. else {
  71. coord = 2;
  72. }
  73. const float splitValue = 0.5f * (agentTree_[node].maxCoord[coord] + agentTree_[node].minCoord[coord]);
  74. size_t left = begin;
  75. size_t right = end;
  76. while (left < right) {
  77. while (left < right && agents_[left]->position_[coord] < splitValue) {
  78. ++left;
  79. }
  80. while (right > left && agents_[right - 1]->position_[coord] >= splitValue) {
  81. --right;
  82. }
  83. if (left < right) {
  84. std::swap(agents_[left], agents_[right - 1]);
  85. ++left;
  86. --right;
  87. }
  88. }
  89. size_t leftSize = left - begin;
  90. if (leftSize == 0) {
  91. ++leftSize;
  92. ++left;
  93. ++right;
  94. }
  95. agentTree_[node].left = node + 1;
  96. agentTree_[node].right = node + 2 * leftSize;
  97. buildAgentTreeRecursive(begin, left, agentTree_[node].left);
  98. buildAgentTreeRecursive(left, end, agentTree_[node].right);
  99. }
  100. }
  101. void KdTree::computeAgentNeighbors(Agent *agent, float rangeSq) const
  102. {
  103. queryAgentTreeRecursive(agent, rangeSq, 0);
  104. }
  105. void KdTree::queryAgentTreeRecursive(Agent *agent, float &rangeSq, size_t node) const
  106. {
  107. if (agentTree_[node].end - agentTree_[node].begin <= RVO3D_MAX_LEAF_SIZE) {
  108. for (size_t i = agentTree_[node].begin; i < agentTree_[node].end; ++i) {
  109. agent->insertAgentNeighbor(agents_[i], rangeSq);
  110. }
  111. }
  112. else {
  113. const float distSqLeft = sqr(std::max(0.0f, agentTree_[agentTree_[node].left].minCoord[0] - agent->position_.x())) + sqr(std::max(0.0f, agent->position_.x() - agentTree_[agentTree_[node].left].maxCoord[0])) + sqr(std::max(0.0f, agentTree_[agentTree_[node].left].minCoord[1] - agent->position_.y())) + sqr(std::max(0.0f, agent->position_.y() - agentTree_[agentTree_[node].left].maxCoord[1])) + sqr(std::max(0.0f, agentTree_[agentTree_[node].left].minCoord[2] - agent->position_.z())) + sqr(std::max(0.0f, agent->position_.z() - agentTree_[agentTree_[node].left].maxCoord[2]));
  114. const float distSqRight = sqr(std::max(0.0f, agentTree_[agentTree_[node].right].minCoord[0] - agent->position_.x())) + sqr(std::max(0.0f, agent->position_.x() - agentTree_[agentTree_[node].right].maxCoord[0])) + sqr(std::max(0.0f, agentTree_[agentTree_[node].right].minCoord[1] - agent->position_.y())) + sqr(std::max(0.0f, agent->position_.y() - agentTree_[agentTree_[node].right].maxCoord[1])) + sqr(std::max(0.0f, agentTree_[agentTree_[node].right].minCoord[2] - agent->position_.z())) + sqr(std::max(0.0f, agent->position_.z() - agentTree_[agentTree_[node].right].maxCoord[2]));
  115. if (distSqLeft < distSqRight) {
  116. if (distSqLeft < rangeSq) {
  117. queryAgentTreeRecursive(agent, rangeSq, agentTree_[node].left);
  118. if (distSqRight < rangeSq) {
  119. queryAgentTreeRecursive(agent, rangeSq, agentTree_[node].right);
  120. }
  121. }
  122. }
  123. else {
  124. if (distSqRight < rangeSq) {
  125. queryAgentTreeRecursive(agent, rangeSq, agentTree_[node].right);
  126. if (distSqLeft < rangeSq) {
  127. queryAgentTreeRecursive(agent, rangeSq, agentTree_[node].left);
  128. }
  129. }
  130. }
  131. }
  132. }
  133. }