[wpilib] Add pose estimators (#2867)

Pose and state estimators can filter latency-compensated global measurements and fuse them with state-space drivetrain model information to estimate robot position. They are drop-in replacements for the existing odometry classes.

Co-authored-by: Declan Freeman-Gleason <declanfreemangleason@gmail.com>
Co-authored-by: Prateek Machiraju <prateek.machiraju@gmail.com>
Co-authored-by: Claudius Tewari <cttewari@gmail.com>
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
This commit is contained in:
Declan Freeman-Gleason
2020-11-28 17:35:35 -05:00
committed by GitHub
parent 3413bfc06a
commit bc8f338771
58 changed files with 4958 additions and 39 deletions

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/*----------------------------------------------------------------------------*/
/* Copyright (c) 2020 FIRST. All Rights Reserved. */
/* Open Source Software - may be modified and shared by FRC teams. The code */
/* must be accompanied by the FIRST BSD license file in the root directory of */
/* the project. */
/*----------------------------------------------------------------------------*/
#include <limits>
#include <random>
#include "frc/StateSpaceUtil.h"
#include "frc/estimator/DifferentialDrivePoseEstimator.h"
#include "frc/geometry/Pose2d.h"
#include "frc/geometry/Rotation2d.h"
#include "frc/kinematics/DifferentialDriveKinematics.h"
#include "frc/kinematics/DifferentialDriveOdometry.h"
#include "frc/trajectory/TrajectoryGenerator.h"
#include "gtest/gtest.h"
#include "units/angle.h"
#include "units/length.h"
#include "units/time.h"
TEST(DifferentialDrivePoseEstimatorTest, TestAccuracy) {
frc::DifferentialDrivePoseEstimator estimator{frc::Rotation2d(),
frc::Pose2d(),
{0.02, 0.02, 0.01, 0.02, 0.02},
{0.01, 0.01, 0.001},
{0.1, 0.1, 0.01}};
frc::Trajectory trajectory = frc::TrajectoryGenerator::GenerateTrajectory(
std::vector{frc::Pose2d(0_m, 0_m, frc::Rotation2d(45_deg)),
frc::Pose2d(3_m, 0_m, frc::Rotation2d(-90_deg)),
frc::Pose2d(0_m, 0_m, frc::Rotation2d(135_deg)),
frc::Pose2d(-3_m, 0_m, frc::Rotation2d(-90_deg)),
frc::Pose2d(0_m, 0_m, frc::Rotation2d(45_deg))},
frc::TrajectoryConfig(10_mps, 5.0_mps_sq));
frc::DifferentialDriveKinematics kinematics{1.0_m};
frc::DifferentialDriveOdometry odometry{frc::Rotation2d()};
std::default_random_engine generator;
std::normal_distribution<double> distribution(0.0, 1.0);
units::second_t dt = 0.02_s;
units::second_t t = 0.0_s;
units::meter_t leftDistance = 0_m;
units::meter_t rightDistance = 0_m;
units::second_t kVisionUpdateRate = 0.1_s;
frc::Pose2d lastVisionPose;
units::second_t lastVisionUpdateTime{-std::numeric_limits<double>::max()};
double maxError = -std::numeric_limits<double>::max();
double errorSum = 0;
while (t <= trajectory.TotalTime()) {
auto groundTruthState = trajectory.Sample(t);
auto input = kinematics.ToWheelSpeeds(
{groundTruthState.velocity, 0_mps,
groundTruthState.velocity * groundTruthState.curvature});
if (lastVisionUpdateTime + kVisionUpdateRate < t) {
if (lastVisionPose != frc::Pose2d()) {
estimator.AddVisionMeasurement(lastVisionPose, lastVisionUpdateTime);
}
lastVisionPose =
groundTruthState.pose +
frc::Transform2d(
frc::Translation2d(distribution(generator) * 0.1 * 1_m,
distribution(generator) * 0.1 * 1_m),
frc::Rotation2d(distribution(generator) * 0.01 * 1_rad));
lastVisionUpdateTime = t;
}
leftDistance += input.left * distribution(generator) * 0.01 * dt;
rightDistance += input.right * distribution(generator) * 0.01 * dt;
auto xhat = estimator.UpdateWithTime(
t,
groundTruthState.pose.Rotation() +
frc::Rotation2d(units::radian_t(distribution(generator) * 0.001)),
input, leftDistance, rightDistance);
double error = groundTruthState.pose.Translation()
.Distance(xhat.Translation())
.to<double>();
if (error > maxError) {
maxError = error;
}
errorSum += error;
t += dt;
}
EXPECT_NEAR(
0.0, errorSum / (trajectory.TotalTime().to<double>() / dt.to<double>()),
0.2);
EXPECT_NEAR(0.0, maxError, 0.4);
}