util.h 文件参考

#include <fstream>
#include <functional>
#include <map>
#include <string>
#include <vector>
#include "Eigen/Dense"
#include "modules/common/util/eigen_defs.h"
#include "modules/perception/common/base/object_types.h"

util.h 的引用(Include)关系图:

此图展示该文件直接或间接的被哪些文件引用了:

浏览源代码.

命名空间
namespace	apollo
	class register implement
namespace	apollo::perception
	apollo::perception
namespace	apollo::perception::radar4d
namespace	apollo::perception::radar4d::util

类型定义
typedef Eigen::Matrix< double, VALID_OBJECT_TYPE, 1 >	apollo::perception::radar4d::Vectord
typedef Eigen::Matrix< int, VALID_OBJECT_TYPE, 1 >	apollo::perception::radar4d::Vectori
typedef Eigen::Matrix< double, VALID_OBJECT_TYPE, VALID_OBJECT_TYPE >	apollo::perception::radar4d::Matrixd

枚举
enum	{ apollo::perception::radar4d::VALID_OBJECT_TYPE = static_cast<int>(base::ObjectType::MAX_OBJECT_TYPE) - 2 }

函数
void	apollo::perception::radar4d::util::FromStdToVector (const std::vector< float > &src_prob, Vectord *dst_prob)
	From std to vector
void	apollo::perception::radar4d::util::FromEigenToVector (const Vectord &src_prob, std::vector< float > *dst_prob)
	Transfrom Eigen to vector
void	apollo::perception::radar4d::util::ToLog (Vectord *prob)
	Compute log of Vectord
void	apollo::perception::radar4d::util::ToExp (Vectord *prob)
	Compute exponential of Vectord
void	apollo::perception::radar4d::util::ToExpStable (Vectord *prob)
	Compute stable exponential of Vectord
void	apollo::perception::radar4d::util::Normalize (Vectord *prob)
	Compute normalize of Vectord
void	apollo::perception::radar4d::util::NormalizeRow (Matrixd *prob)
	Compute normalize row of Matrixd
bool	apollo::perception::radar4d::util::LoadSingleMatrix (std::ifstream &fin, Matrixd *matrix)
	Load single matrix
bool	apollo::perception::radar4d::util::LoadSingleMatrixFile (const std::string &filename, Matrixd *matrix)
	Load single matrix from file
bool	apollo::perception::radar4d::util::LoadMultipleMatricesFile (const std::string &filename, apollo::common::EigenMap< std::string, Matrixd > *matrices)
	Load multiple matrices from file