wiener_noise.hpp

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// Copyright 2021 the Autoware Foundation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Developed by Apex.AI, Inc.
 
 
#ifndef MOTION_MODEL__WIENER_NOISE_HPP_
#define MOTION_MODEL__WIENER_NOISE_HPP_
 
#include <kalman_filter/common_states.hpp>
#include <kalman_filter/visibility_control.hpp>
#include <motion_model/noise_interface.hpp>
 
#include <array>
 
namespace autoware
{
namespace prediction
{
 
template<typename StateT>
class KALMAN_FILTER_PUBLIC WienerNoise : public NoiseInterface<WienerNoise<StateT>>
{
public:
  using State = StateT;
 
  explicit WienerNoise(
    const std::array<typename State::Scalar, State::size()> & acceleration_variances)
  : m_acceleration_variances{acceleration_variances} {}
 
protected:
  // Required to allow the crtp interface call the following functions.
  friend NoiseInterface<WienerNoise<StateT>>;
 
  typename State::Matrix crtp_covariance(const std::chrono::nanoseconds &) const
  {
    static_assert(
      sizeof(StateT) == 0U,
      "\n\nThis function must be specialized for specific states.\n\n");
  }
 
private:
  std::array<typename State::Scalar, State::size()> m_acceleration_variances{};
};
 
template<>
KALMAN_FILTER_PUBLIC state::ConstAccelerationXY::Matrix
WienerNoise<state::ConstAccelerationXY>::crtp_covariance(
  const std::chrono::nanoseconds & dt) const;
 
template<>
KALMAN_FILTER_PUBLIC state::ConstAccelerationXYYaw::Matrix
WienerNoise<state::ConstAccelerationXYYaw>::crtp_covariance(
  const std::chrono::nanoseconds & dt) const;
 
}  // namespace prediction
}  // namespace autoware
 
#endif  // MOTION_MODEL__WIENER_NOISE_HPP_