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allwpilib/wpimath/src/main/native/include/frc/interpolation/TimeInterpolatableBuffer.h
2024-04-27 21:03:37 -07:00

159 lines
5.2 KiB
C++

// Copyright (c) FIRST and other WPILib contributors.
// Open Source Software; you can modify and/or share it under the terms of
// the WPILib BSD license file in the root directory of this project.
#pragma once
#include <algorithm>
#include <array>
#include <functional>
#include <map>
#include <optional>
#include <utility>
#include <vector>
#include <wpi/MathExtras.h>
#include <wpi/SymbolExports.h>
#include "frc/geometry/Pose2d.h"
#include "units/time.h"
namespace frc {
/**
* The TimeInterpolatableBuffer provides an easy way to estimate past
* measurements. One application might be in conjunction with the
* DifferentialDrivePoseEstimator, where knowledge of the robot pose at the time
* when vision or other global measurement were recorded is necessary, or for
* recording the past angles of mechanisms as measured by encoders.
*
* When sampling this buffer, a user-provided function or wpi::Lerp can be
* used. For Pose2ds, we use Twists.
*
* @tparam T The type stored in this buffer.
*/
template <typename T>
class TimeInterpolatableBuffer {
public:
/**
* Create a new TimeInterpolatableBuffer.
*
* @param historySize The history size of the buffer.
* @param func The function used to interpolate between values.
*/
TimeInterpolatableBuffer(units::second_t historySize,
std::function<T(const T&, const T&, double)> func)
: m_historySize(historySize), m_interpolatingFunc(func) {}
/**
* Create a new TimeInterpolatableBuffer. By default, the interpolation
* function is wpi::Lerp except for Pose2d, which uses the pose exponential.
*
* @param historySize The history size of the buffer.
*/
explicit TimeInterpolatableBuffer(units::second_t historySize)
: m_historySize(historySize),
m_interpolatingFunc([](const T& start, const T& end, double t) {
return wpi::Lerp(start, end, t);
}) {}
/**
* Add a sample to the buffer.
*
* @param time The timestamp of the sample.
* @param sample The sample object.
*/
void AddSample(units::second_t time, T sample) {
// Add the new state into the vector
if (m_pastSnapshots.size() == 0 || time > m_pastSnapshots.back().first) {
m_pastSnapshots.emplace_back(time, sample);
} else {
auto first_after = std::upper_bound(
m_pastSnapshots.begin(), m_pastSnapshots.end(), time,
[](auto t, const auto& pair) { return t < pair.first; });
if (first_after == m_pastSnapshots.begin()) {
// All entries come after the sample
m_pastSnapshots.insert(first_after, std::pair{time, sample});
} else if (auto last_not_greater_than = first_after - 1;
last_not_greater_than == m_pastSnapshots.begin() ||
last_not_greater_than->first < time) {
// Some entries come before the sample, but none are recorded with the
// same time
m_pastSnapshots.insert(first_after, std::pair{time, sample});
} else {
// An entry exists with the same recorded time
last_not_greater_than->second = sample;
}
}
while (time - m_pastSnapshots[0].first > m_historySize) {
m_pastSnapshots.erase(m_pastSnapshots.begin());
}
}
/** Clear all old samples. */
void Clear() { m_pastSnapshots.clear(); }
/**
* Sample the buffer at the given time. If the buffer is empty, an empty
* optional is returned.
*
* @param time The time at which to sample the buffer.
*/
std::optional<T> Sample(units::second_t time) const {
if (m_pastSnapshots.empty()) {
return {};
}
// We will perform a binary search to find the index of the element in the
// vector that has a timestamp that is equal to or greater than the vision
// measurement timestamp.
if (time <= m_pastSnapshots.front().first) {
return m_pastSnapshots.front().second;
}
if (time > m_pastSnapshots.back().first) {
return m_pastSnapshots.back().second;
}
if (m_pastSnapshots.size() < 2) {
return m_pastSnapshots[0].second;
}
// Get the iterator which has a key no less than the requested key.
auto upper_bound = std::lower_bound(
m_pastSnapshots.begin(), m_pastSnapshots.end(), time,
[](const auto& pair, auto t) { return t > pair.first; });
if (upper_bound == m_pastSnapshots.begin()) {
return upper_bound->second;
}
auto lower_bound = upper_bound - 1;
double t = ((time - lower_bound->first) /
(upper_bound->first - lower_bound->first));
return m_interpolatingFunc(lower_bound->second, upper_bound->second, t);
}
/**
* Grant access to the internal sample buffer. Used in Pose Estimation to
* replay odometry inputs stored within this buffer.
*/
std::vector<std::pair<units::second_t, T>>& GetInternalBuffer() {
return m_pastSnapshots;
}
private:
units::second_t m_historySize;
std::vector<std::pair<units::second_t, T>> m_pastSnapshots;
std::function<T(const T&, const T&, double)> m_interpolatingFunc;
};
// Template specialization to ensure that Pose2d uses pose exponential
template <>
WPILIB_DLLEXPORT TimeInterpolatableBuffer<Pose2d>::TimeInterpolatableBuffer(
units::second_t historySize);
} // namespace frc