feat:map添加中文注释
parent
a92e8b2a9c
commit
e7913bc1dd
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@ -11,11 +11,17 @@ class Row;
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class Grid;
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// Index 结构体，表示地图中的一个索引位置，包含三个维度（k, j, i）
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struct Index {
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int k, j, i;
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int k, j, i; // 三个维度的索引
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// 默认构造函数
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Index() = default;
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// 构造函数，初始化k, j, i
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Index(int k, int j, int i) : k(k), j(j), i(i) {}
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// 用于排序的比较函数对象，按k、j、i的顺序依次比较
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struct Comp {
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bool operator()(const Index &idx1, const Index &idx2) const {
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return (idx1.k < idx2.k) || (idx1.k == idx2.k && idx1.j < idx2.j) ||
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@ -24,53 +30,75 @@ struct Index {
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};
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};
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// Map 类，表示一个三维网格地图
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class Map {
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public:
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// 构造函数，使用地图的形状和步长初始化地图
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Map(const std::vector<int> &shape, const std::vector<double> &step);
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// 构造函数，使用地图的形状和步长初始化地图
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Map(const std::vector<int> &shape, double step);
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// 根据索引返回指定位置的点云
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TPointCloudPtr &at(const Index &index);
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// 根据索引返回指定位置的点云（const版本）
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const TPointCloudPtr &at(const Index &index) const;
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// 清空地图
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void clear();
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// Z轴方向上平移地图n个单位
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void ShiftZ(int n);
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// Y轴方向上平移地图n个单位
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void ShiftY(int n);
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// X轴方向上平移地图n个单位
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void ShiftX(int n);
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// 返回地图的形状
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const std::vector<int> shape() const {
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return std::vector<int>(shape_, shape_ + 3);
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}
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// 根据点的位置计算该点在地图中的索引
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Index GetIndex(const TPoint &point) const;
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// 检查索引是否有效
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bool CheckIndex(const Index &index) const;
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// 获取基于点和子地图形状的点云
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TPointCloudPtr GetSubmapPoints(const TPoint &point,
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const std::vector<int> &submap_shapes) const;
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// 获取所有的点云
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TPointCloudPtr GetAllPoints() const;
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// 向地图中添加点云
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void AddPoints(const TPointCloudConstPtr &cloud,
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std::vector<Index> *const indices = nullptr);
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// 对点云进行下采样
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void Downsample(double voxel_size);
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// 对指定的点云索引进行下采样
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void Downsample(const std::vector<Index> &indices, double voxel_size);
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private:
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// 获取指定的Z轴索引的网格
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Grid &at(int z_idx);
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// 获取指定的Z轴索引的网格（const版本）
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const Grid &at(int z_idx) const;
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// 获取指定Z轴和Y轴索引的行
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Row &at(int z_idx, int y_idx);
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// 获取指定Z轴和Y轴索引的行（const版本）
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const Row &at(int z_idx, int y_idx) const;
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// 获取指定Z轴、Y轴和X轴索引的点云
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TPointCloudPtr &at(int z_idx, int y_idx, int x_idx);
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const TPointCloudPtr &at(int z_idx, int y_idx, int x_idx) const;
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@ -78,47 +106,60 @@ class Map {
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std::vector<Index> GetSubmapIndices(
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const TPoint &point, const std::vector<int> &submap_shapes) const;
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// 获取地图的所有索引
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std::vector<Index> GetAllIndices() const;
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int shape_[3], center_[3]; // order: z, y, x
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int shape_[3], center_[3]; // 地图的形状和中心位置（z, y, x）
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double step_[3];
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double step_[3]; // 步长（分辨率）
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std::vector<Grid> map_;
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std::vector<Grid> map_; // 存储地图的网格
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DISALLOW_COPY_AND_ASSIGN(Map);
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DISALLOW_COPY_AND_ASSIGN(Map); // 禁止拷贝和赋值
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};
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// Row 类，表示地图中的一行，包含多个点云
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class Row {
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public:
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// 构造函数，初始化行的大小
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explicit Row(int n);
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// 根据索引返回指定位置的点云
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TPointCloudPtr &at(int idx);
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// 根据索引返回指定位置的点云（const版本）
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const TPointCloudPtr &at(int idx) const;
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// 清空该行的点云
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void clear();
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// 获取该行的所有点云
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TPointCloudPtr GetAllPoints() const;
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private:
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std::vector<TPointCloudPtr> row_;
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std::vector<TPointCloudPtr> row_; // 存储行的点云
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};
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// Grid 类，表示地图中的一个网格，包含多个行
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class Grid {
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public:
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// 构造函数，初始化网格的大小
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Grid(int m, int n);
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// 清空网格
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void clear();
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// 获取指定索引的行
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Row &at(int idx);
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// 获取指定索引的行（const版本）
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const Row &at(int idx) const;
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// 获取该网格的所有点云
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TPointCloudPtr GetAllPoints() const;
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private:
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std::vector<Row> grid_;
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std::vector<Row> grid_; // 存储网格中的行
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};
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} // namespace oh_my_loam
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} // namespace oh_my_loam
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@ -10,254 +10,307 @@
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namespace oh_my_loam {
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namespace {
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using common::YAMLConfig;
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using LineCoeff = Eigen::Matrix<double, 6, 1>; // 定义直线系数类型，包含 6 个元素
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} // namespace
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namespace {
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using common::YAMLConfig;
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using LineCoeff =
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Eigen::Matrix<double, 6, 1>; // 定义直线系数类型，包含 6 个元素
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} // namespace
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// 初始化地图参数和设置
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bool Mapper::Init() {
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const auto &config = YAMLConfig::Instance()->config(); // 获取配置文件
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config_ = config["mapper_config"]; // 读取映射配置
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is_vis_ = config_["vis"].as<bool>(); // 是否启用可视化
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verbose_ = config_["verbose"].as<bool>(); // 是否输出详细日志
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AINFO << "Mapping visualizer: " << (is_vis_ ? "ON" : "OFF"); // 打印可视化状态
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map_shape_ = YAMLConfig::GetSeq<int>(config_["map_shape"]); // 获取地图的形状
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submap_shape_ = YAMLConfig::GetSeq<int>(config_["submap_shape"]); // 获取子地图的形状
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map_step_ = config_["map_step"].as<double>(); // 获取地图分辨率
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corn_map_.reset(new Map(map_shape_, map_step_)); // 初始化角点地图
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surf_map_.reset(new Map(map_shape_, map_step_)); // 初始化表面地图
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if (is_vis_) visualizer_.reset(new MapperVisualizer); // 如果启用可视化，初始化可视化器
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return true;
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}
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// 重置地图
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void Mapper::Reset() {
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SetState(UN_INIT); // 设置状态为未初始化
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}
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// 处理每一帧点云数据
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void Mapper::Process(double timestamp, const TPointCloudConstPtr &cloud_corn,
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const TPointCloudConstPtr &cloud_surf,
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const common::Pose3d &pose_curr2odom,
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common::Pose3d *const pose_curr2map) {
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if (GetState() == UN_INIT) { // 如果地图尚未初始化
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pose_curr2map->SetIdentity(); // 设置当前位姿为单位矩阵
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pose_odom2map_.SetIdentity(); // 设置里程计到地图的变换为单位矩阵
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UpdateMap(*pose_curr2map, cloud_corn, cloud_surf); // 更新地图
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SetState(DONE); // 设置状态为已完成
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AINFO << "Mapper initialized..."; // 打印初始化完成信息
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return;
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// 初始化地图参数和设置
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bool Mapper::Init() {
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const auto &config = YAMLConfig::Instance()->config(); // 获取配置文件
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config_ = config["mapper_config"]; // 读取映射配置
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is_vis_ = config_["vis"].as<bool>(); // 是否启用可视化
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verbose_ = config_["verbose"].as<bool>(); // 是否输出详细日志
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AINFO << "Mapping visualizer: "
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<< (is_vis_ ? "ON" : "OFF"); // 打印可视化状态
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map_shape_ = YAMLConfig::GetSeq<int>(config_["map_shape"]); // 获取地图的形状
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submap_shape_ =
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YAMLConfig::GetSeq<int>(config_["submap_shape"]); // 获取子地图的形状
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map_step_ = config_["map_step"].as<double>(); // 获取地图分辨率
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corn_map_.reset(new Map(map_shape_, map_step_)); // 初始化角点地图
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surf_map_.reset(new Map(map_shape_, map_step_)); // 初始化表面地图
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if (is_vis_)
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visualizer_.reset(new MapperVisualizer); // 如果启用可视化，初始化可视化器
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return true;
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}
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if (GetState() == DONE) { // 如果地图已初始化
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thread_.reset(new std::thread(&Mapper::Run, this, cloud_corn, cloud_surf,
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pose_curr2odom)); // 启动新的线程来运行地图更新
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if (thread_->joinable()) thread_->detach(); // 分离线程
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// 重置地图
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void Mapper::Reset() {
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SetState(UN_INIT); // 设置状态为未初始化
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}
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std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态，避免多线程竞争
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*pose_curr2map = pose_odom2map_ * pose_curr2odom; // 计算当前位姿到地图的变换
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AINFO << "Pose_curr2map = " << pose_curr2map->ToString(); // 打印位姿
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}
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// 执行映射操作
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void Mapper::Run(const TPointCloudConstPtr &cloud_corn,
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const TPointCloudConstPtr &cloud_surf,
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const common::Pose3d &pose_curr2odom) {
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BLOCK_TIMER_START;
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SetState(RUNNING); // 设置状态为运行中
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common::Pose3d pose_curr2map = pose_odom2map_ * pose_curr2odom; // 计算当前位姿到地图的变换
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TPoint t_vec(pose_curr2map.t_vec().x(), pose_curr2map.t_vec().y(),
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pose_curr2map.t_vec().z()); // 提取平移向量
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AdjustMap(t_vec); // 调整地图
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TPointCloudPtr cloud_corn_map =
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corn_map_->GetSubmapPoints(t_vec, submap_shape_); // 获取角点子地图
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TPointCloudPtr cloud_surf_map =
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surf_map_->GetSubmapPoints(t_vec, submap_shape_); // 获取表面子地图
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kdtree_corn_.setInputCloud(cloud_corn_map); // 设置角点的kdtree
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kdtree_surf_.setInputCloud(cloud_surf_map); // 设置表面点云的kdtree
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std::vector<PointLineCoeffPair> pl_pairs;
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std::vector<PointPlaneCoeffPair> pp_pairs;
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for (int i = 0; i < config_["icp_iter_num"].as<int>(); ++i) { // 进行ICP迭代
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std::vector<PointLineCoeffPair>().swap(pl_pairs);
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std::vector<PointPlaneCoeffPair>().swap(pp_pairs);
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MatchCorn(cloud_corn, pose_curr2map, &pl_pairs); // 匹配角点
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MatchSurf(cloud_surf, pose_curr2map, &pp_pairs); // 匹配表面点
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AINFO_IF(verbose_) << "Iter " << i
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<< ": matched num: point2line = " << pl_pairs.size()
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<< ", point2plane = " << pp_pairs.size(); // 输出匹配结果
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if (pl_pairs.size() + pp_pairs.size() <
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config_["min_correspondence_num"].as<size_t>()) { // 如果匹配点对太少，跳过当前迭代
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AWARN << "Too less correspondence: " << pl_pairs.size() << " + "
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<< pp_pairs.size();
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continue;
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}
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PoseSolver solver(pose_curr2map); // 创建姿态求解器
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for (const auto &pair : pl_pairs) {
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solver.AddPointLineCoeffPair(pair, 1.0); // 添加点-直线配对
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}
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for (const auto &pair : pp_pairs) {
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solver.AddPointPlaneCoeffPair(pair, 1.0); // 添加点-平面配对
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}
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if (!solver.Solve(config_["solve_iter_num"].as<int>(), verbose_,
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&pose_curr2map)) { // 解决优化问题
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AWARN << "Mapping solve: no_convergence";
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}
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AINFO_IF(verbose_) << "Odometer::ICP: iter_" << i << ": "
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<< BLOCK_TIMER_STOP_FMT;
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}
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UpdateMap(pose_curr2map, cloud_corn, cloud_surf); // 更新地图
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std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态，避免多线程竞争
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pose_odom2map_ = pose_curr2map * pose_curr2odom.Inv(); // 计算新的里程计到地图的变换
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AINFO << "Pose_curr2map = " << pose_curr2map.ToString(); // 打印位姿
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AUSER << "Mapper::Run: " << BLOCK_TIMER_STOP_FMT;
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if (is_vis_) Visualize(pl_pairs, pp_pairs, pose_curr2odom, pose_curr2map); // 可视化结果
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state_ = DONE; // 设置状态为已完成，注意死锁问题
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}
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// 匹配角点
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void Mapper::MatchCorn(const TPointCloudConstPtr &cloud_curr,
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const common::Pose3d &pose_curr2map,
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std::vector<PointLineCoeffPair> *const pairs) const {
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if (kdtree_corn_.getInputCloud()->empty()) return; // 如果输入点云为空，返回
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std::vector<int> indices;
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std::vector<float> dists;
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int nearest_neighbor_k = config_["nearest_neighbor_k"].as<int>(); // 获取最近邻数目
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float neighbor_point_dist_sq_th =
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config_["neighbor_point_dist_sq_th"].as<float>(); // 获取邻点距离阈值
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for (const auto &pt : *cloud_curr) { // 遍历当前点云
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TPoint pt_query = common::TransformPoint(pose_curr2map, pt); // 变换当前点
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if (kdtree_corn_.nearestKSearch(pt_query, nearest_neighbor_k, indices,
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dists) != nearest_neighbor_k) {
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continue;
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}
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if (dists.back() > neighbor_point_dist_sq_th) continue; // 如果距离太大，跳过
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TPointCloud neighbor_pts;
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pcl::copyPointCloud(*kdtree_corn_.getInputCloud(), indices, neighbor_pts); // 获取邻域点云
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double fit_score = 0.0;
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LineCoeff coeff = common::FitLine3D(neighbor_pts, &fit_score); // 拟合直线
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if (fit_score < config_["min_line_fit_score"].as<double>()) continue; // 如果拟合分数太低，跳过
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pairs->emplace_back(pt, coeff); // 添加点-直线配对
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}
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}
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// 匹配表面点
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void Mapper::MatchSurf(const TPointCloudConstPtr &cloud_curr,
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const common::Pose3d &pose_curr2map,
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std::vector<PointPlaneCoeffPair> *const pairs) const {
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if (kdtree_surf_.getInputCloud()->empty()) return; // 如果输入点云为空，返回
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std::vector<int> indices;
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std::vector<float> dists;
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int nearest_neighbor_k = config_["nearest_neighbor_k"].as<int>(); // 获取最近邻数目
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float neighbor_point_dist_sq_th =
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config_["neighbor_point_dist_sq_th"].as<float>(); // 获取邻点距离阈值
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for (const auto &pt : *cloud_curr) { // 遍历当前点云
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TPoint pt_query = common::TransformPoint(pose_curr2map, pt); // 变换当前点
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if (kdtree_surf_.nearestKSearch(pt_query, nearest_neighbor_k, indices,
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dists) != nearest_neighbor_k) {
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continue;
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}
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if (dists.back() > neighbor_point_dist_sq_th) continue; // 如果距离太大，跳过
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TPointCloud neighbor_pts;
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pcl::copyPointCloud(*kdtree_surf_.getInputCloud(), indices, neighbor_pts); // 获取邻域点云
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double fit_score = 0.0;
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Eigen::Vector4d coeff = common::FitPlane(neighbor_pts, &fit_score); // 拟合平面
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if (fit_score < config_["min_plane_fit_score"].as<double>()) continue; // 如果拟合分数太低，跳过
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TPoint pt1(coeff[0], coeff[1], coeff[2], 0.0); // 生成平面上的点
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pairs->emplace_back(pt, coeff);
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}
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}
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void Mapper::AdjustMap(const TPoint ¢er) {
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Index index = corn_map_->GetIndex(center);
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int min_idx_z = submap_shape_[0] / 2 + 1;
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int max_idx_z = map_shape_[0] - min_idx_z - 1;
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if (index.k < min_idx_z) {
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corn_map_->ShiftZ(index.k - min_idx_z);
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surf_map_->ShiftZ(index.k - min_idx_z);
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}
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if (index.k > max_idx_z) {
|
||||
corn_map_->ShiftZ(index.k - max_idx_z);
|
||||
surf_map_->ShiftZ(index.k - max_idx_z);
|
||||
}
|
||||
int min_idx_y = submap_shape_[0] / 2 + 1;
|
||||
int max_idx_y = map_shape_[1] - min_idx_y - 1;
|
||||
if (index.j < min_idx_y) {
|
||||
corn_map_->ShiftY(index.j - min_idx_y);
|
||||
surf_map_->ShiftY(index.j - min_idx_y);
|
||||
}
|
||||
if (index.j > max_idx_y) {
|
||||
corn_map_->ShiftY(index.j - max_idx_y);
|
||||
surf_map_->ShiftY(index.j - max_idx_y);
|
||||
}
|
||||
int min_idx_x = submap_shape_[0] / 2 + 1;
|
||||
int max_idx_x = map_shape_[2] - min_idx_x - 1;
|
||||
if (index.i < min_idx_x) {
|
||||
corn_map_->ShiftX(index.i - min_idx_x);
|
||||
surf_map_->ShiftX(index.i - min_idx_x);
|
||||
}
|
||||
if (index.i > max_idx_x) {
|
||||
corn_map_->ShiftX(index.i - max_idx_x);
|
||||
surf_map_->ShiftX(index.i - max_idx_x);
|
||||
}
|
||||
}
|
||||
|
||||
void Mapper::UpdateMap(const common::Pose3d &pose_curr2map,
|
||||
const TPointCloudConstPtr &cloud_corn,
|
||||
const TPointCloudConstPtr &cloud_surf) {
|
||||
auto update_map = [&](const TPointCloudConstPtr &cloud,
|
||||
Map *const map /* const TPointCloudPtr &cloud_map*/) {
|
||||
TPointCloudPtr cloud_trans(new TPointCloud);
|
||||
common::TransformPointCloud(pose_curr2map, *cloud, cloud_trans.get());
|
||||
std::vector<Index> indices;
|
||||
map->AddPoints(cloud_trans, &indices);
|
||||
map->Downsample(indices, config_["downsample_voxel_size"].as<double>());
|
||||
};
|
||||
std::lock_guard<std::mutex> lock(map_mutex_);
|
||||
update_map(cloud_corn, corn_map_.get());
|
||||
update_map(cloud_surf, surf_map_.get());
|
||||
}
|
||||
|
||||
TPointCloudPtr Mapper::GetMapCloudCorn() const {
|
||||
std::lock_guard<std::mutex> lock(map_mutex_);
|
||||
return corn_map_->GetAllPoints();
|
||||
}
|
||||
|
||||
TPointCloudPtr Mapper::GetMapCloudSurf() const {
|
||||
std::lock_guard<std::mutex> lock(map_mutex_);
|
||||
return surf_map_->GetAllPoints();
|
||||
}
|
||||
|
||||
TPointCloudPtr Mapper::GetMapCloud() const {
|
||||
TPointCloudPtr map_points(new TPointCloud);
|
||||
std::lock_guard<std::mutex> lock(map_mutex_);
|
||||
*map_points += *corn_map_->GetAllPoints();
|
||||
*map_points += *surf_map_->GetAllPoints();
|
||||
return map_points;
|
||||
}
|
||||
|
||||
Mapper::State Mapper::GetState() const {
|
||||
std::lock_guard<std::mutex> lock(state_mutex_);
|
||||
return state_;
|
||||
}
|
||||
|
||||
void Mapper::SetState(State state) {
|
||||
std::lock_guard<std::mutex> lock(state_mutex_);
|
||||
state_ = state;
|
||||
}
|
||||
|
||||
void Mapper::Visualize(const std::vector<PointLineCoeffPair> &pl_pairs,
|
||||
const std::vector<PointPlaneCoeffPair> &pp_pairs,
|
||||
// 处理每一帧点云数据
|
||||
void Mapper::Process(double timestamp, const TPointCloudConstPtr &cloud_corn,
|
||||
const TPointCloudConstPtr &cloud_surf,
|
||||
const common::Pose3d &pose_curr2odom,
|
||||
const common::Pose3d &pose_curr2map, double timestamp) {
|
||||
std::shared_ptr<MapperVisFrame> frame(new MapperVisFrame);
|
||||
frame->timestamp = timestamp;
|
||||
frame->cloud_corn = kdtree_corn_.getInputCloud()->makeShared();
|
||||
frame->cloud_surf = kdtree_surf_.getInputCloud()->makeShared();
|
||||
frame->pl_pairs = pl_pairs;
|
||||
frame->pp_pairs = pp_pairs;
|
||||
frame->pose_curr2odom = pose_curr2odom;
|
||||
frame->pose_curr2map = pose_curr2map;
|
||||
visualizer_->Render(frame);
|
||||
}
|
||||
common::Pose3d *const pose_curr2map) {
|
||||
if (GetState() == UN_INIT) { // 如果地图尚未初始化
|
||||
pose_curr2map->SetIdentity(); // 设置当前位姿为单位矩阵
|
||||
pose_odom2map_.SetIdentity(); // 设置里程计到地图的变换为单位矩阵
|
||||
UpdateMap(*pose_curr2map, cloud_corn, cloud_surf); // 更新地图
|
||||
SetState(DONE); // 设置状态为已完成
|
||||
AINFO << "Mapper initialized..."; // 打印初始化完成信息
|
||||
return;
|
||||
}
|
||||
if (GetState() == DONE) { // 如果地图已初始化
|
||||
thread_.reset(
|
||||
new std::thread(&Mapper::Run, this, cloud_corn, cloud_surf,
|
||||
pose_curr2odom)); // 启动新的线程来运行地图更新
|
||||
if (thread_->joinable()) thread_->detach(); // 分离线程
|
||||
}
|
||||
std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态，避免多线程竞争
|
||||
*pose_curr2map = pose_odom2map_ * pose_curr2odom; // 计算当前位姿到地图的变换
|
||||
AINFO << "Pose_curr2map = " << pose_curr2map->ToString(); // 打印位姿
|
||||
}
|
||||
|
||||
// 执行映射操作
|
||||
void Mapper::Run(const TPointCloudConstPtr &cloud_corn,
|
||||
const TPointCloudConstPtr &cloud_surf,
|
||||
const common::Pose3d &pose_curr2odom) {
|
||||
BLOCK_TIMER_START;
|
||||
SetState(RUNNING); // 设置状态为运行中
|
||||
common::Pose3d pose_curr2map =
|
||||
pose_odom2map_ * pose_curr2odom; // 计算当前位姿到地图的变换
|
||||
TPoint t_vec(pose_curr2map.t_vec().x(), pose_curr2map.t_vec().y(),
|
||||
pose_curr2map.t_vec().z()); // 提取平移向量
|
||||
AdjustMap(t_vec); // 调整地图，使得当前位姿处于地图的中心附近
|
||||
TPointCloudPtr cloud_corn_map =
|
||||
corn_map_->GetSubmapPoints(t_vec, submap_shape_); // 获取角点子地图
|
||||
TPointCloudPtr cloud_surf_map =
|
||||
surf_map_->GetSubmapPoints(t_vec, submap_shape_); // 获取表面子地图
|
||||
kdtree_corn_.setInputCloud(cloud_corn_map); // 设置角点的kdtree
|
||||
kdtree_surf_.setInputCloud(cloud_surf_map); // 设置表面点云的kdtree
|
||||
std::vector<PointLineCoeffPair> pl_pairs;
|
||||
std::vector<PointPlaneCoeffPair> pp_pairs;
|
||||
for (int i = 0; i < config_["icp_iter_num"].as<int>(); ++i) { // 进行ICP迭代
|
||||
std::vector<PointLineCoeffPair>().swap(pl_pairs);
|
||||
std::vector<PointPlaneCoeffPair>().swap(pp_pairs);
|
||||
MatchCorn(cloud_corn, pose_curr2map, &pl_pairs); // 匹配角点
|
||||
MatchSurf(cloud_surf, pose_curr2map, &pp_pairs); // 匹配表面点
|
||||
AINFO_IF(verbose_) << "Iter " << i
|
||||
<< ": matched num: point2line = " << pl_pairs.size()
|
||||
<< ", point2plane = "
|
||||
<< pp_pairs.size(); // 输出匹配结果
|
||||
if (pl_pairs.size() + pp_pairs.size() <
|
||||
config_["min_correspondence_num"]
|
||||
.as<size_t>()) { // 如果匹配点对太少，跳过当前迭代
|
||||
AWARN << "Too less correspondence: " << pl_pairs.size() << " + "
|
||||
<< pp_pairs.size();
|
||||
continue;
|
||||
}
|
||||
PoseSolver solver(pose_curr2map); // 创建姿态求解器
|
||||
for (const auto &pair : pl_pairs) {
|
||||
solver.AddPointLineCoeffPair(pair, 1.0); // 添加点-直线配对
|
||||
}
|
||||
for (const auto &pair : pp_pairs) {
|
||||
solver.AddPointPlaneCoeffPair(pair, 1.0); // 添加点-平面配对
|
||||
}
|
||||
if (!solver.Solve(config_["solve_iter_num"].as<int>(), verbose_,
|
||||
&pose_curr2map)) { // 解决优化问题
|
||||
AWARN << "Mapping solve: no_convergence";
|
||||
}
|
||||
AINFO_IF(verbose_) << "Odometer::ICP: iter_" << i << ": "
|
||||
<< BLOCK_TIMER_STOP_FMT;
|
||||
}
|
||||
UpdateMap(pose_curr2map, cloud_corn, cloud_surf); // 更新地图
|
||||
std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态，避免多线程竞争
|
||||
pose_odom2map_ =
|
||||
pose_curr2map * pose_curr2odom.Inv(); // 计算新的里程计到地图的变换
|
||||
AINFO << "Pose_curr2map = " << pose_curr2map.ToString(); // 打印位姿
|
||||
AUSER << "Mapper::Run: " << BLOCK_TIMER_STOP_FMT;
|
||||
if (is_vis_)
|
||||
Visualize(pl_pairs, pp_pairs, pose_curr2odom, pose_curr2map); // 可视化结果
|
||||
state_ = DONE; // 设置状态为已完成，注意死锁问题
|
||||
}
|
||||
|
||||
// 匹配角点
|
||||
void Mapper::MatchCorn(const TPointCloudConstPtr &cloud_curr,
|
||||
const common::Pose3d &pose_curr2map,
|
||||
std::vector<PointLineCoeffPair> *const pairs) const {
|
||||
if (kdtree_corn_.getInputCloud()->empty()) return; // 如果输入点云为空，返回
|
||||
std::vector<int> indices;
|
||||
std::vector<float> dists;
|
||||
int nearest_neighbor_k =
|
||||
config_["nearest_neighbor_k"].as<int>(); // 获取最近邻数目
|
||||
float neighbor_point_dist_sq_th =
|
||||
config_["neighbor_point_dist_sq_th"].as<float>(); // 获取邻点距离阈值
|
||||
for (const auto &pt : *cloud_curr) { // 遍历当前点云
|
||||
TPoint pt_query = common::TransformPoint(pose_curr2map, pt); // 变换当前点
|
||||
if (kdtree_corn_.nearestKSearch(pt_query, nearest_neighbor_k, indices,
|
||||
dists) != nearest_neighbor_k) {
|
||||
continue;
|
||||
}
|
||||
if (dists.back() > neighbor_point_dist_sq_th)
|
||||
continue; // 如果距离太大，跳过
|
||||
TPointCloud neighbor_pts;
|
||||
pcl::copyPointCloud(*kdtree_corn_.getInputCloud(), indices,
|
||||
neighbor_pts); // 获取邻域点云
|
||||
double fit_score = 0.0;
|
||||
LineCoeff coeff = common::FitLine3D(neighbor_pts, &fit_score); // 拟合直线
|
||||
if (fit_score < config_["min_line_fit_score"].as<double>())
|
||||
continue; // 如果拟合分数太低，跳过
|
||||
pairs->emplace_back(pt, coeff); // 添加点-直线配对
|
||||
}
|
||||
}
|
||||
|
||||
// 匹配表面点
|
||||
void Mapper::MatchSurf(const TPointCloudConstPtr &cloud_curr,
|
||||
const common::Pose3d &pose_curr2map,
|
||||
std::vector<PointPlaneCoeffPair> *const pairs) const {
|
||||
if (kdtree_surf_.getInputCloud()->empty()) return; // 如果输入点云为空，返回
|
||||
std::vector<int> indices;
|
||||
std::vector<float> dists;
|
||||
int nearest_neighbor_k =
|
||||
config_["nearest_neighbor_k"].as<int>(); // 获取最近邻数目
|
||||
float neighbor_point_dist_sq_th =
|
||||
config_["neighbor_point_dist_sq_th"].as<float>(); // 获取邻点距离阈值
|
||||
for (const auto &pt : *cloud_curr) { // 遍历当前点云
|
||||
TPoint pt_query = common::TransformPoint(pose_curr2map, pt); // 变换当前点
|
||||
if (kdtree_surf_.nearestKSearch(pt_query, nearest_neighbor_k, indices,
|
||||
dists) != nearest_neighbor_k) {
|
||||
continue;
|
||||
}
|
||||
if (dists.back() > neighbor_point_dist_sq_th)
|
||||
continue; // 如果距离太大，跳过
|
||||
TPointCloud neighbor_pts;
|
||||
pcl::copyPointCloud(*kdtree_surf_.getInputCloud(), indices,
|
||||
neighbor_pts); // 获取邻域点云
|
||||
double fit_score = 0.0;
|
||||
Eigen::Vector4d coeff =
|
||||
common::FitPlane(neighbor_pts, &fit_score); // 拟合平面
|
||||
if (fit_score < config_["min_plane_fit_score"].as<double>())
|
||||
continue; // 如果拟合分数太低，跳过
|
||||
TPoint pt1(coeff[0], coeff[1], coeff[2], 0.0); // 生成平面上的点
|
||||
pairs->emplace_back(pt, coeff);
|
||||
}
|
||||
}
|
||||
// 调整地图的显示范围和更新位置
|
||||
void Mapper::AdjustMap(const TPoint ¢er) {
|
||||
// 获取当前点在角点地图中的索引
|
||||
Index index = corn_map_->GetIndex(center);
|
||||
|
||||
// Z轴方向上的最小和最大索引值，用于调整地图的上下边界
|
||||
int min_idx_z = submap_shape_[0] / 2 + 1; // 最小Z轴索引
|
||||
int max_idx_z = map_shape_[0] - min_idx_z - 1; // 最大Z轴索引
|
||||
if (index.k < min_idx_z) { // 如果当前索引小于最小值
|
||||
// 调整Z轴位置
|
||||
corn_map_->ShiftZ(index.k - min_idx_z);
|
||||
surf_map_->ShiftZ(index.k - min_idx_z);
|
||||
}
|
||||
if (index.k > max_idx_z) { // 如果当前索引大于最大值
|
||||
// 调整Z轴位置
|
||||
corn_map_->ShiftZ(index.k - max_idx_z);
|
||||
surf_map_->ShiftZ(index.k - max_idx_z);
|
||||
}
|
||||
|
||||
// Y轴方向上的最小和最大索引值，用于调整地图的前后边界
|
||||
int min_idx_y = submap_shape_[0] / 2 + 1; // 最小Y轴索引
|
||||
int max_idx_y = map_shape_[1] - min_idx_y - 1; // 最大Y轴索引
|
||||
if (index.j < min_idx_y) { // 如果当前索引小于最小值
|
||||
// 调整Y轴位置
|
||||
corn_map_->ShiftY(index.j - min_idx_y);
|
||||
surf_map_->ShiftY(index.j - min_idx_y);
|
||||
}
|
||||
if (index.j > max_idx_y) { // 如果当前索引大于最大值
|
||||
// 调整Y轴位置
|
||||
corn_map_->ShiftY(index.j - max_idx_y);
|
||||
surf_map_->ShiftY(index.j - max_idx_y);
|
||||
}
|
||||
|
||||
// X轴方向上的最小和最大索引值，用于调整地图的左右边界
|
||||
int min_idx_x = submap_shape_[0] / 2 + 1; // 最小X轴索引
|
||||
int max_idx_x = map_shape_[2] - min_idx_x - 1; // 最大X轴索引
|
||||
if (index.i < min_idx_x) { // 如果当前索引小于最小值
|
||||
// 调整X轴位置
|
||||
corn_map_->ShiftX(index.i - min_idx_x);
|
||||
surf_map_->ShiftX(index.i - min_idx_x);
|
||||
}
|
||||
if (index.i > max_idx_x) { // 如果当前索引大于最大值
|
||||
// 调整X轴位置
|
||||
corn_map_->ShiftX(index.i - max_idx_x);
|
||||
surf_map_->ShiftX(index.i - max_idx_x);
|
||||
}
|
||||
}
|
||||
|
||||
// 更新地图：根据当前的位姿和角点、表面点云更新地图
|
||||
void Mapper::UpdateMap(const common::Pose3d &pose_curr2map,
|
||||
const TPointCloudConstPtr &cloud_corn,
|
||||
const TPointCloudConstPtr &cloud_surf) {
|
||||
// 定义一个局部函数，用于更新地图
|
||||
auto update_map = [&](const TPointCloudConstPtr &cloud,
|
||||
Map *const map /* const TPointCloudPtr &cloud_map*/) {
|
||||
TPointCloudPtr cloud_trans(new TPointCloud); // 创建存储变换后点云的指针
|
||||
common::TransformPointCloud(pose_curr2map, *cloud,
|
||||
cloud_trans.get()); // 根据位姿变换点云
|
||||
std::vector<Index> indices; // 存储点云索引
|
||||
map->AddPoints(cloud_trans, &indices); // 将变换后的点云加入地图
|
||||
map->Downsample(
|
||||
indices,
|
||||
config_["downsample_voxel_size"].as<double>()); // 对点云进行下采样
|
||||
};
|
||||
|
||||
// 使用锁来保证多线程安全
|
||||
std::lock_guard<std::mutex> lock(map_mutex_);
|
||||
|
||||
// 更新角点地图和表面地图
|
||||
update_map(cloud_corn, corn_map_.get());
|
||||
update_map(cloud_surf, surf_map_.get());
|
||||
}
|
||||
|
||||
// 获取角点地图的所有点云
|
||||
TPointCloudPtr Mapper::GetMapCloudCorn() const {
|
||||
std::lock_guard<std::mutex> lock(map_mutex_); // 锁住，避免多线程竞争
|
||||
return corn_map_->GetAllPoints(); // 返回角点地图中的所有点
|
||||
}
|
||||
|
||||
// 获取表面地图的所有点云
|
||||
TPointCloudPtr Mapper::GetMapCloudSurf() const {
|
||||
std::lock_guard<std::mutex> lock(map_mutex_); // 锁住，避免多线程竞争
|
||||
return surf_map_->GetAllPoints(); // 返回表面地图中的所有点
|
||||
}
|
||||
|
||||
// 获取所有地图（包括角点和表面点云）
|
||||
TPointCloudPtr Mapper::GetMapCloud() const {
|
||||
TPointCloudPtr map_points(new TPointCloud); // 创建一个新的点云指针
|
||||
std::lock_guard<std::mutex> lock(map_mutex_); // 锁住，避免多线程竞争
|
||||
|
||||
// 将角点地图和表面地图的所有点加入到最终的地图中
|
||||
*map_points += *corn_map_->GetAllPoints();
|
||||
*map_points += *surf_map_->GetAllPoints();
|
||||
|
||||
return map_points; // 返回完整的地图
|
||||
}
|
||||
|
||||
// 获取当前的地图状态
|
||||
Mapper::State Mapper::GetState() const {
|
||||
std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态
|
||||
return state_; // 返回当前状态
|
||||
}
|
||||
|
||||
// 设置地图的状态
|
||||
void Mapper::SetState(State state) {
|
||||
std::lock_guard<std::mutex> lock(state_mutex_); // 锁住状态
|
||||
state_ = state; // 设置新的状态
|
||||
}
|
||||
|
||||
// 可视化匹配的点对和位姿信息
|
||||
void Mapper::Visualize(const std::vector<PointLineCoeffPair> &pl_pairs,
|
||||
const std::vector<PointPlaneCoeffPair> &pp_pairs,
|
||||
const common::Pose3d &pose_curr2odom,
|
||||
const common::Pose3d &pose_curr2map, double timestamp) {
|
||||
std::shared_ptr<MapperVisFrame> frame(new MapperVisFrame); // 创建可视化帧
|
||||
frame->timestamp = timestamp; // 设置时间戳
|
||||
frame->cloud_corn = kdtree_corn_.getInputCloud()->makeShared(); // 设置角点云
|
||||
frame->cloud_surf =
|
||||
kdtree_surf_.getInputCloud()->makeShared(); // 设置表面点云
|
||||
frame->pl_pairs = pl_pairs; // 设置点-直线配对
|
||||
frame->pp_pairs = pp_pairs; // 设置点-平面配对
|
||||
frame->pose_curr2odom = pose_curr2odom; // 设置当前里程计位姿
|
||||
frame->pose_curr2map = pose_curr2map; // 设置当前地图位姿
|
||||
|
||||
// 渲染可视化帧
|
||||
visualizer_->Render(frame);
|
||||
}
|
||||
|
||||
} // namespace oh_my_loam
|
||||
Loading…
Reference in New Issue