voxel_filter.h
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00001 /*
00002  * Copyright 2016 The Cartographer Authors
00003  *
00004  * Licensed under the Apache License, Version 2.0 (the "License");
00005  * you may not use this file except in compliance with the License.
00006  * You may obtain a copy of the License at
00007  *
00008  *      http://www.apache.org/licenses/LICENSE-2.0
00009  *
00010  * Unless required by applicable law or agreed to in writing, software
00011  * distributed under the License is distributed on an "AS IS" BASIS,
00012  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
00013  * See the License for the specific language governing permissions and
00014  * limitations under the License.
00015  */
00016 
00017 #ifndef CARTOGRAPHER_SENSOR_INTERNAL_VOXEL_FILTER_H_
00018 #define CARTOGRAPHER_SENSOR_INTERNAL_VOXEL_FILTER_H_
00019 
00020 #include <bitset>
00021 
00022 #include "absl/container/flat_hash_set.h"
00023 #include "cartographer/common/lua_parameter_dictionary.h"
00024 #include "cartographer/sensor/point_cloud.h"
00025 #include "cartographer/sensor/proto/adaptive_voxel_filter_options.pb.h"
00026 #include "cartographer/sensor/timed_point_cloud_data.h"
00027 
00028 namespace cartographer {
00029 namespace sensor {
00030 
00031 // Voxel filter for point clouds. For each voxel, the assembled point cloud
00032 // contains the first point that fell into it from any of the inserted point
00033 // clouds.
00034 class VoxelFilter {
00035  public:
00036   // 'size' is the length of a voxel edge.
00037   explicit VoxelFilter(float size) : resolution_(size) {}
00038 
00039   VoxelFilter(const VoxelFilter&) = delete;
00040   VoxelFilter& operator=(const VoxelFilter&) = delete;
00041 
00042   // Returns a voxel filtered copy of 'point_cloud'.
00043   PointCloud Filter(const PointCloud& point_cloud);
00044 
00045   // Same for TimedPointCloud.
00046   TimedPointCloud Filter(const TimedPointCloud& timed_point_cloud);
00047 
00048   // Same for RangeMeasurement.
00049   std::vector<TimedPointCloudOriginData::RangeMeasurement> Filter(
00050       const std::vector<TimedPointCloudOriginData::RangeMeasurement>&
00051           range_measurements);
00052 
00053  private:
00054   using KeyType = std::bitset<3 * 32>;
00055 
00056   static KeyType IndexToKey(const Eigen::Array3i& index);
00057 
00058   Eigen::Array3i GetCellIndex(const Eigen::Vector3f& point) const;
00059 
00060   float resolution_;
00061   absl::flat_hash_set<KeyType> voxel_set_;
00062 };
00063 
00064 proto::AdaptiveVoxelFilterOptions CreateAdaptiveVoxelFilterOptions(
00065     common::LuaParameterDictionary* const parameter_dictionary);
00066 
00067 class AdaptiveVoxelFilter {
00068  public:
00069   explicit AdaptiveVoxelFilter(
00070       const proto::AdaptiveVoxelFilterOptions& options);
00071 
00072   AdaptiveVoxelFilter(const AdaptiveVoxelFilter&) = delete;
00073   AdaptiveVoxelFilter& operator=(const AdaptiveVoxelFilter&) = delete;
00074 
00075   PointCloud Filter(const PointCloud& point_cloud) const;
00076 
00077  private:
00078   const proto::AdaptiveVoxelFilterOptions options_;
00079 };
00080 
00081 }  // namespace sensor
00082 }  // namespace cartographer
00083 
00084 #endif  // CARTOGRAPHER_SENSOR_INTERNAL_VOXEL_FILTER_H_


cartographer
Author(s): The Cartographer Authors
autogenerated on Thu May 9 2019 02:27:36