reimplement incremental nearest neighbor query
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5bb96fd477
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55d47b3e31
@ -646,18 +646,20 @@ class StaticRTree
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return result_coordinate.is_valid();
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}
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// implementation of the Hjaltason/Samet query [3], a BFS traversal of the tree
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// - searches for k elements nearest elements
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// - continues to find the k+1st element from a big component if k elements
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// come from tiny components
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bool
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IncrementalFindPhantomNodeForCoordinate(const FixedPointCoordinate &input_coordinate,
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std::vector<PhantomNode> &result_phantom_node_vector,
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const unsigned number_of_results,
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const unsigned max_checked_segments = 4*LEAF_NODE_SIZE)
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const unsigned max_number_of_phantom_nodes,
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const unsigned max_checked_elements = 4*LEAF_NODE_SIZE)
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{
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std::vector<float> min_found_distances(number_of_results, std::numeric_limits<float>::max());
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unsigned inspected_segments = 0;
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unsigned number_of_results_found_in_big_cc = 0;
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unsigned number_of_results_found_in_tiny_cc = 0;
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unsigned inspected_elements = 0;
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unsigned number_of_elements_from_big_cc = 0;
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unsigned number_of_elements_from_tiny_cc = 0;
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// initialize queue with root element
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std::priority_queue<IncrementalQueryCandidate> traversal_queue;
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@ -668,21 +670,16 @@ class StaticRTree
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const IncrementalQueryCandidate current_query_node = traversal_queue.top();
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traversal_queue.pop();
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const float current_min_dist = min_found_distances[number_of_results-1];
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if (current_query_node.min_dist > current_min_dist)
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{
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continue;
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}
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if (current_query_node.node.template is<TreeNode>())
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{
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{ // current object is a tree node
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const TreeNode & current_tree_node = current_query_node.node.template get<TreeNode>();
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if (current_tree_node.child_is_on_disk)
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{
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LeafNode current_leaf_node;
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LoadLeafFromDisk(current_tree_node.children[0], current_leaf_node);
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// Add all objects from leaf into queue
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for (uint32_t i = 0; i < current_leaf_node.object_count; ++i)
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// current object represents a block on disk
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for (const auto i : osrm::irange(0u, current_leaf_node.object_count))
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{
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const auto ¤t_edge = current_leaf_node.objects[i];
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const float current_perpendicular_distance =
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@ -691,59 +688,45 @@ class StaticRTree
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m_coordinate_list->at(current_edge.v),
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input_coordinate);
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// distance must be non-negative
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BOOST_ASSERT(0. <= current_perpendicular_distance);
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BOOST_ASSERT(0.f <= current_perpendicular_distance);
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if (current_perpendicular_distance < current_min_dist)
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{
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traversal_queue.emplace(current_perpendicular_distance, current_edge);
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}
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// put element in queue
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traversal_queue.emplace(current_perpendicular_distance, current_edge);
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}
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}
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else
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{
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// for each child mbr
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for (uint32_t i = 0; i < current_tree_node.child_count; ++i)
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// for each child mbr get a lower bound and enqueue it
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for (const auto i : osrm::irange(0u, current_tree_node.child_count))
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{
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const int32_t child_id = current_tree_node.children[i];
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const TreeNode &child_tree_node = m_search_tree[child_id];
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const RectangleT &child_rectangle = child_tree_node.minimum_bounding_rectangle;
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const float lower_bound_to_element = child_rectangle.GetMinDist(input_coordinate);
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BOOST_ASSERT(0.f <= lower_bound_to_element);
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// TODO - enough elements found, i.e. nearest distance > maximum distance?
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// ie. some measure of 'confidence of accuracy'
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// check if it needs to be explored by mindist
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if (lower_bound_to_element < current_min_dist)
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{
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traversal_queue.emplace(lower_bound_to_element, child_tree_node);
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}
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traversal_queue.emplace(lower_bound_to_element, child_tree_node);
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}
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}
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}
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else
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{
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++inspected_segments;
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{ // current object is a leaf node
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++inspected_elements;
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// inspecting an actual road segment
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const EdgeDataT & current_segment = current_query_node.node.template get<EdgeDataT>();
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// don't collect too many results from big components
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if (number_of_results_found_in_big_cc == number_of_results &&
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current_segment.component_id == 0)
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{
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continue;
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}
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// don't collect too many results from small components
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if (number_of_results_found_in_tiny_cc == number_of_results &&
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current_segment.component_id != 0)
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// continue searching for the first segment from a big component
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if (number_of_elements_from_big_cc == 0 &&
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number_of_elements_from_tiny_cc >= max_number_of_phantom_nodes &&
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current_segment.is_in_tiny_cc())
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{
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continue;
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}
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// check if it is smaller than what we had before
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float current_ratio = 0.;
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float current_ratio = 0.f;
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FixedPointCoordinate foot_point_coordinate_on_segment;
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const float current_perpendicular_distance =
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// const float current_perpendicular_distance =
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FixedPointCoordinate::ComputePerpendicularDistance(
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m_coordinate_list->at(current_segment.u),
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m_coordinate_list->at(current_segment.v),
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@ -751,76 +734,56 @@ class StaticRTree
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foot_point_coordinate_on_segment,
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current_ratio);
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BOOST_ASSERT(0. <= current_perpendicular_distance);
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SimpleLogger().Write() << "nearest: " << std::setprecision(8) << foot_point_coordinate_on_segment;
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// store phantom node in result vector
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result_phantom_node_vector.emplace_back(
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current_segment.forward_edge_based_node_id,
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current_segment.reverse_edge_based_node_id,
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current_segment.name_id,
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current_segment.forward_weight,
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current_segment.reverse_weight,
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current_segment.forward_offset,
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current_segment.reverse_offset,
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current_segment.packed_geometry_id,
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current_segment.component_id,
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foot_point_coordinate_on_segment,
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current_segment.fwd_segment_position,
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current_segment.forward_travel_mode,
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current_segment.backward_travel_mode);
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if ((current_perpendicular_distance < current_min_dist) &&
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!osrm::epsilon_compare(current_perpendicular_distance, current_min_dist))
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{
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// store phantom node in result vector
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result_phantom_node_vector.emplace_back(
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current_segment.forward_edge_based_node_id,
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current_segment.reverse_edge_based_node_id,
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current_segment.name_id,
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current_segment.forward_weight,
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current_segment.reverse_weight,
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current_segment.forward_offset,
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current_segment.reverse_offset,
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current_segment.packed_geometry_id,
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current_segment.component_id,
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foot_point_coordinate_on_segment,
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current_segment.fwd_segment_position,
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current_segment.forward_travel_mode,
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current_segment.backward_travel_mode);
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// Hack to fix rounding errors and wandering via nodes.
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FixUpRoundingIssue(input_coordinate, result_phantom_node_vector.back());
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// Hack to fix rounding errors and wandering via nodes.
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FixUpRoundingIssue(input_coordinate, result_phantom_node_vector.back());
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// set forward and reverse weights on the phantom node
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SetForwardAndReverseWeightsOnPhantomNode(current_segment,
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result_phantom_node_vector.back());
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// set forward and reverse weights on the phantom node
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SetForwardAndReverseWeightsOnPhantomNode(current_segment,
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result_phantom_node_vector.back());
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// do we have results only in a small scc
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if (current_segment.component_id != 0)
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{
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++number_of_results_found_in_tiny_cc;
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}
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else
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{
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// found an element in a large component
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min_found_distances[number_of_results_found_in_big_cc] = current_perpendicular_distance;
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++number_of_results_found_in_big_cc;
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// SimpleLogger().Write(logDEBUG) << std::setprecision(8) << foot_point_coordinate_on_segment << " at " << current_perpendicular_distance;
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}
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// update counts on what we found from which result class
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if (current_segment.is_in_tiny_cc())
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{ // found an element in tiny component
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++number_of_elements_from_tiny_cc;
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}
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else
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{ // found an element in a big component
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++number_of_elements_from_big_cc;
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}
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// SimpleLogger().Write() << "result_phantom_node_vector.size(): " << result_phantom_node_vector.size();
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// SimpleLogger().Write() << "max_number_of_phantom_nodes: " << max_number_of_phantom_nodes;
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// SimpleLogger().Write() << "number_of_elements_from_big_cc: " << number_of_elements_from_big_cc;
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// SimpleLogger().Write() << "number_of_elements_from_tiny_cc: " << number_of_elements_from_tiny_cc;
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// SimpleLogger().Write() << "inspected_elements: " << inspected_elements;
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// SimpleLogger().Write() << "max_checked_elements: " << max_checked_elements;
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}
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// TODO add indicator to prune if maxdist > threshold
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if (number_of_results == number_of_results_found_in_big_cc || inspected_segments >= max_checked_segments)
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// stop the search by flushing the queue
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if ((result_phantom_node_vector.size() >= max_number_of_phantom_nodes && number_of_elements_from_big_cc > 0) ||
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inspected_elements >= max_checked_elements)
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{
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// SimpleLogger().Write(logDEBUG) << "flushing queue of " << traversal_queue.size() << " elements";
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// work-around for traversal_queue.clear();
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traversal_queue = std::priority_queue<IncrementalQueryCandidate>{};
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}
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}
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// for (const PhantomNode& result_node : result_phantom_node_vector)
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// {
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// SimpleLogger().Write(logDEBUG) << std::setprecision(8) << "found location " << result_node.forward_node_id << " at " << result_node.location;
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// }
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// SimpleLogger().Write(logDEBUG) << "dequeues: " << dequeues;
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// SimpleLogger().Write(logDEBUG) << "inspected_mbrs: " << inspected_mbrs;
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// SimpleLogger().Write(logDEBUG) << "loaded_leafs: " << loaded_leafs;
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// SimpleLogger().Write(logDEBUG) << "inspected_segments: " << inspected_segments;
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// SimpleLogger().Write(logDEBUG) << "pruned_elements: " << pruned_elements;
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// SimpleLogger().Write(logDEBUG) << "ignored_segments: " << ignored_segments;
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// SimpleLogger().Write(logDEBUG) << "ignored_mbrs: " << ignored_mbrs;
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// SimpleLogger().Write(logDEBUG) << "number_of_results_found_in_big_cc: " << number_of_results_found_in_big_cc;
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// SimpleLogger().Write(logDEBUG) << "number_of_results_found_in_tiny_cc: " << number_of_results_found_in_tiny_cc;
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// TIMER_STOP(samet);
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// SimpleLogger().Write() << "query took " << TIMER_MSEC(samet) << "ms";
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// if we found an element in either category, then we are good
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SimpleLogger().Write() << "inspected_elements: " << inspected_elements;
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return !result_phantom_node_vector.empty();
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}
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