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perf(out_of_lane): downsample the trajectory to improve performance
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Signed-off-by: Maxime CLEMENT <[email protected]>
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maxime-clem committed Jun 25, 2024
1 parent 7685d8a commit 78f9505
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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 @@ -157,7 +158,7 @@ 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 @@ -158,9 +159,11 @@ 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;

Check warning on line 166 in planning/motion_velocity_planner/autoware_motion_velocity_out_of_lane_module/src/out_of_lane_module.cpp

View check run for this annotation

CodeScene Delta Analysis / CodeScene Cloud Delta Analysis (main)

❌ Getting worse: Complex Method

OutOfLaneModule::plan already has high cyclomatic complexity, and now it increases in Lines of Code from 150 to 152. This function has many conditional statements (e.g. if, for, while), leading to lower code health. Avoid adding more conditionals and code to it without refactoring.
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);
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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