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perf(out_of_lane): downsample the trajectory to improve performance (#…
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…7691)

Signed-off-by: Maxime CLEMENT <[email protected]>
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maxime-clem authored Jun 26, 2024
1 parent 2e00bcf commit 8444a9e
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Showing 6 changed files with 54 additions and 57 deletions.
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Expand Up @@ -50,7 +50,7 @@ size_t calculateStartIndex(
/// @param[in] start_idx starting index of the input trajectory
/// @param[in] factor factor used for downsampling
/// @return downsampled trajectory
TrajectoryPoints downsampleTrajectory(
TrajectoryPoints downsample_trajectory(
const TrajectoryPoints & trajectory, const size_t start_idx, const int factor);

/// @brief recalculate the steering angle of the trajectory
Expand Down Expand Up @@ -123,16 +123,6 @@ std::vector<autoware::motion_velocity_planner::SlowdownInterval> calculate_slowd
const std::vector<multi_linestring_t> & projections, const std::vector<polygon_t> & footprints,
ProjectionParameters & projection_params, const VelocityParameters & velocity_params,
autoware::motion_utils::VirtualWalls & virtual_walls);

/// @brief copy the velocity profile of a downsampled trajectory to the original trajectory
/// @param[in] downsampled_trajectory downsampled trajectory
/// @param[in] trajectory input trajectory
/// @param[in] start_idx starting index of the downsampled trajectory relative to the input
/// @param[in] factor downsampling factor
/// @return input trajectory with the velocity profile of the downsampled trajectory
TrajectoryPoints copyDownsampledVelocity(
const TrajectoryPoints & downsampled_traj, TrajectoryPoints trajectory, const size_t start_idx,
const int factor);
} // namespace autoware::motion_velocity_planner::obstacle_velocity_limiter

#endif // OBSTACLE_VELOCITY_LIMITER_HPP_
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Expand Up @@ -23,6 +23,7 @@

#include <autoware/motion_utils/marker/virtual_wall_marker_creator.hpp>
#include <autoware/motion_utils/trajectory/trajectory.hpp>
#include <autoware/motion_velocity_planner_common/trajectory_preprocessing.hpp>
#include <autoware/universe_utils/ros/update_param.hpp>
#include <autoware/universe_utils/system/stop_watch.hpp>
#include <autoware_vehicle_info_utils/vehicle_info_utils.hpp>
Expand Down Expand Up @@ -159,7 +160,7 @@ VelocityPlanningResult ObstacleVelocityLimiterModule::plan(
const auto end_idx = obstacle_velocity_limiter::calculateEndIndex(
original_traj_points, start_idx, preprocessing_params_.max_length,
preprocessing_params_.max_duration);
auto downsampled_traj_points = obstacle_velocity_limiter::downsampleTrajectory(
auto downsampled_traj_points = downsample_trajectory(
original_traj_points, start_idx, end_idx, preprocessing_params_.downsample_factor);
obstacle_velocity_limiter::ObstacleMasks obstacle_masks;
const auto preprocessing_us = stopwatch.toc("preprocessing");
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Expand Up @@ -55,17 +55,6 @@ size_t calculateEndIndex(
return idx;
}

TrajectoryPoints downsampleTrajectory(
const TrajectoryPoints & trajectory, const size_t start_idx, const size_t end_idx,
const int factor)
{
if (factor < 1) return trajectory;
TrajectoryPoints downsampled_traj;
downsampled_traj.reserve((end_idx - start_idx) / factor);
for (size_t i = start_idx; i <= end_idx; i += factor) downsampled_traj.push_back(trajectory[i]);
return downsampled_traj;
}

void calculateSteeringAngles(TrajectoryPoints & trajectory, const double wheel_base)
{
auto prev_point = trajectory.front();
Expand All @@ -82,16 +71,4 @@ void calculateSteeringAngles(TrajectoryPoints & trajectory, const double wheel_b
std::atan2(wheel_base * d_heading, point.longitudinal_velocity_mps * dt);
}
}

TrajectoryPoints copyDownsampledVelocity(
const TrajectoryPoints & downsampled_traj, TrajectoryPoints trajectory, const size_t start_idx,
const int factor)
{
const auto size = std::min(downsampled_traj.size(), trajectory.size());
for (size_t i = 0; i < size; ++i) {
trajectory[start_idx + i * factor].longitudinal_velocity_mps =
downsampled_traj[i].longitudinal_velocity_mps;
}
return trajectory;
}
} // namespace autoware::motion_velocity_planner::obstacle_velocity_limiter
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Expand Up @@ -37,31 +37,11 @@ size_t calculateEndIndex(
const TrajectoryPoints & trajectory, const size_t start_idx, const double max_length,
const double max_duration);

/// @brief downsample a trajectory, reducing its number of points by the given factor
/// @param[in] trajectory input trajectory
/// @param[in] start_idx starting index of the input trajectory
/// @param[in] end_idx ending index of the input trajectory
/// @param[in] factor factor used for downsampling
/// @return downsampled trajectory
TrajectoryPoints downsampleTrajectory(
const TrajectoryPoints & trajectory, const size_t start_idx, const size_t end_idx,
const int factor);

/// @brief recalculate the steering angle of the trajectory
/// @details uses the change in headings for calculation
/// @param[inout] trajectory input trajectory
/// @param[in] wheel_base wheel base of the vehicle
void calculateSteeringAngles(TrajectoryPoints & trajectory, const double wheel_base);

/// @brief copy the velocity profile of a downsampled trajectory to the original trajectory
/// @param[in] downsampled_trajectory downsampled trajectory
/// @param[in] trajectory input trajectory
/// @param[in] start_idx starting index of the downsampled trajectory relative to the input
/// @param[in] factor downsampling factor
/// @return input trajectory with the velocity profile of the downsampled trajectory
TrajectoryPoints copyDownsampledVelocity(
const TrajectoryPoints & downsampled_traj, TrajectoryPoints trajectory, const size_t start_idx,
const int factor);
} // namespace autoware::motion_velocity_planner::obstacle_velocity_limiter

#endif // TRAJECTORY_PREPROCESSING_HPP_
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Expand Up @@ -25,6 +25,7 @@

#include <autoware/motion_utils/trajectory/interpolation.hpp>
#include <autoware/motion_utils/trajectory/trajectory.hpp>
#include <autoware/motion_velocity_planner_common/trajectory_preprocessing.hpp>
#include <autoware/universe_utils/ros/parameter.hpp>
#include <autoware/universe_utils/ros/update_param.hpp>
#include <autoware/universe_utils/system/stop_watch.hpp>
Expand Down Expand Up @@ -160,9 +161,11 @@ VelocityPlanningResult OutOfLaneModule::plan(
stopwatch.tic();
out_of_lane::EgoData ego_data;
ego_data.pose = planner_data->current_odometry.pose.pose;
ego_data.trajectory_points = ego_trajectory_points;
ego_data.first_trajectory_idx =
const auto start_idx =
autoware::motion_utils::findNearestSegmentIndex(ego_trajectory_points, ego_data.pose.position);
ego_data.trajectory_points =
downsample_trajectory(ego_trajectory_points, start_idx, ego_trajectory_points.size(), 10);
ego_data.first_trajectory_idx = 0;
ego_data.velocity = planner_data->current_odometry.twist.twist.linear.x;
ego_data.max_decel = planner_data->velocity_smoother_->getMinDecel();
stopwatch.tic("calculate_trajectory_footprints");
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@@ -0,0 +1,46 @@
// Copyright 2024 TIER IV, Inc.
//
// 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.

#ifndef AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__TRAJECTORY_PREPROCESSING_HPP_
#define AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__TRAJECTORY_PREPROCESSING_HPP_

#include <autoware_planning_msgs/msg/trajectory_point.hpp>

#include <vector>

namespace autoware::motion_velocity_planner
{
/// @brief downsample a trajectory, reducing its number of points by the given factor
/// @param[in] trajectory input trajectory
/// @param[in] start_idx starting index of the input trajectory
/// @param[in] end_idx ending index of the input trajectory
/// @param[in] factor factor used for downsampling
/// @return downsampled trajectory
std::vector<autoware_planning_msgs::msg::TrajectoryPoint> downsample_trajectory(
const std::vector<autoware_planning_msgs::msg::TrajectoryPoint> & trajectory,
const size_t start_idx, const size_t end_idx, const int factor)
{
if (factor < 1) {
return trajectory;
}
std::vector<autoware_planning_msgs::msg::TrajectoryPoint> downsampled_traj;
downsampled_traj.reserve((end_idx - start_idx) / factor + 1);
for (size_t i = start_idx; i <= end_idx; i += factor) {
downsampled_traj.push_back(trajectory[i]);
}
return downsampled_traj;
}
} // namespace autoware::motion_velocity_planner

#endif // AUTOWARE__MOTION_VELOCITY_PLANNER_COMMON__TRAJECTORY_PREPROCESSING_HPP_

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