源码可在https://github.com/learnmoreonce/SLAM 下载
文件:min_max_range_filtering_points_processor.h
#ifndef CARTOGRAPHER_IO_MIN_MAX_RANGE_FILTERING_POINTS_PROCESSOR_H_
#define CARTOGRAPHER_IO_MIN_MAX_RANGE_FILTERING_POINTS_PROCESSOR_H_
#include <memory>
#include "cartographer/common/lua_parameter_dictionary.h"
#include "cartographer/io/points_processor.h"
namespace cartographer {
namespace io {
/*
PointsProcessor的第一个子类(1).
功能:继承自PointsProcessor点云虚基类.距离过滤器,L2 距离不在Min-Max范围内的都过滤掉.
数据成员:
1),min_range_ 最小范围
2),max_range_ 最大范围
3),PointsProcessor* const next_:完成本轮Processor,接下来进行下一次Processor.
*/
// Filters all points that are farther away from their 'origin' as 'max_range'
// or closer than 'min_range'.
class MinMaxRangeFiteringPointsProcessor : public PointsProcessor {
public:
constexpr static const char* kConfigurationFileActionName =
"min_max_range_filter";
MinMaxRangeFiteringPointsProcessor(double min_range, double max_range,
PointsProcessor* next);
//从.lua文件加载min_range和max_range,如:0-30
static std::unique_ptr<MinMaxRangeFiteringPointsProcessor> FromDictionary(
common::LuaParameterDictionary* dictionary, PointsProcessor* next);
~MinMaxRangeFiteringPointsProcessor() override {}//覆盖
MinMaxRangeFiteringPointsProcessor(
const MinMaxRangeFiteringPointsProcessor&) = delete;
MinMaxRangeFiteringPointsProcessor& operator=(
const MinMaxRangeFiteringPointsProcessor&) = delete;
//点云处理,删除[min,max]以外的point,并把数据传递到下一轮Processor处理。
void Process(std::unique_ptr<PointsBatch> batch) override;
FlushResult Flush() override;
//调用next_->Flush();父类调用Flush(),但在运行时才会决定是否调用子类的Flush()
private:
const double min_range_;
const double max_range_;
PointsProcessor* const next_;
};
} // namespace io
} // namespace cartographer
#endif // CARTOGRAPHER_IO_MIN_MAX_RANGE_FILTERING_POINTS_PROCESSOR_H_
min_max_range_filtering_points_processor.cc
#include "cartographer/io/min_max_range_filtering_points_processor.h"
#include "cartographer/common/lua_parameter_dictionary.h"
#include "cartographer/common/make_unique.h"
#include "cartographer/io/points_batch.h"
namespace cartographer {
namespace io {
//从.lua文件加载min_range和max_range,如:0-30
std::unique_ptr<MinMaxRangeFiteringPointsProcessor>
MinMaxRangeFiteringPointsProcessor::FromDictionary(
common::LuaParameterDictionary* const dictionary,
PointsProcessor* const next) {
return common::make_unique<MinMaxRangeFiteringPointsProcessor>(
dictionary->GetDouble("min_range"), dictionary->GetDouble("max_range"), //trajectory_builder_2d.lua:0,30
//assets_writer_backpack_2d.lua 1-60
next);
}
/*
构造函数,传递min ,max2个范围参数和 PointsProcessor* next指针
*/
MinMaxRangeFiteringPointsProcessor::MinMaxRangeFiteringPointsProcessor(
const double min_range, const double max_range, PointsProcessor* next)
: min_range_(min_range), max_range_(max_range), next_(next) {}
void MinMaxRangeFiteringPointsProcessor::Process(
std::unique_ptr<PointsBatch> batch)
{
std::vector<int> to_remove; //待移除的索引
for (size_t i = 0; i < batch->points.size(); ++i) {
//计算sensor到远点的l2距离
const float range = (batch->points[i] - batch->origin).norm();
if (!(min_range_ <= range && range <= max_range_)) {
//不在给定范围内,加入移除队列.
to_remove.push_back(i);
}
}
RemovePoints(to_remove, batch.get());
next_->Process(std::move(batch));//完成本轮过滤,接下来进行下一次过滤.即模拟流水线操作.
}
PointsProcessor::FlushResult MinMaxRangeFiteringPointsProcessor::Flush() {
return next_->Flush();
}
} // namespace io
} // namespace cartographer
本文发于:
* http://www.jianshu.com/u/9e38d2febec1
* https://zhuanlan.zhihu.com/learnmoreonce
* http://blog.youkuaiyun.com/learnmoreonce
* slam源码分析微信公众号:slamcode