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feat(smart_mpc_trajectory_follower): add smart_mpc_trajectory_follower #6805

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3 changes: 3 additions & 0 deletions control/smart_mpc_trajectory_follower/.gitignore
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# Files generated when installing smart_mpc_trajectory_follower
build/
*.egg-info/
13 changes: 13 additions & 0 deletions control/smart_mpc_trajectory_follower/CMakeLists.txt
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cmake_minimum_required(VERSION 3.14)
project(smart_mpc_trajectory_follower)

find_package(autoware_cmake REQUIRED)
autoware_package()

install(PROGRAMS
smart_mpc_trajectory_follower/scripts/pympc_trajectory_follower.py
DESTINATION lib/${PROJECT_NAME}
)
ament_auto_package(
INSTALL_TO_SHARE
)
331 changes: 331 additions & 0 deletions control/smart_mpc_trajectory_follower/README.md

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44 changes: 44 additions & 0 deletions control/smart_mpc_trajectory_follower/package.xml
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<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>smart_mpc_trajectory_follower</name>
<version>1.0.0</version>
<description>Nodes to follow a trajectory by generating control commands using smart mpc</description>

<!-- mpc longitudinal controller -->
<maintainer email="[email protected]">Masayuki Aino</maintainer>

<license>Apache License 2.0</license>

<author email="[email protected]">Masayuki Aino</author>

<buildtool_depend>ament_cmake_auto</buildtool_depend>
<buildtool_depend>ament_cmake_python</buildtool_depend>
<buildtool_depend>autoware_cmake</buildtool_depend>

<depend>autoware_adapi_v1_msgs</depend>
<depend>autoware_auto_control_msgs</depend>
<depend>autoware_auto_planning_msgs</depend>
<depend>autoware_auto_system_msgs</depend>
<depend>autoware_auto_vehicle_msgs</depend>
<depend>motion_utils</depend>
<depend>pybind11_vendor</depend>
<depend>python3-numba</depend>
<depend>python3-scipy</depend>
<depend>rclcpp</depend>
<depend>rclcpp_components</depend>
<depend>tier4_autoware_utils</depend>

<exec_depend>ros2launch</exec_depend>

<test_depend>ament_cmake_ros</test_depend>
<test_depend>ament_index_python</test_depend>
<test_depend>ament_lint_auto</test_depend>
<test_depend>autoware_lint_common</test_depend>
<test_depend>autoware_testing</test_depend>
<test_depend>ros_testing</test_depend>

<export>
<build_type>ament_cmake</build_type>
</export>
</package>
35 changes: 35 additions & 0 deletions control/smart_mpc_trajectory_follower/setup.py
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import glob
import json
import os
from pathlib import Path

from setuptools import find_packages
from setuptools import setup

os.system("pip3 install numba==0.58.1 --force-reinstall")
os.system("pip3 install GPy")
os.system("pip3 install torch")
package_path = {}
package_path["path"] = str(Path(__file__).parent)
with open("smart_mpc_trajectory_follower/package_path.json", "w") as f:
json.dump(package_path, f)
build_cpp_command = "g++ -Ofast -Wall -shared -std=c++11 -fPIC $(python3 -m pybind11 --includes) "
build_cpp_command += "smart_mpc_trajectory_follower/scripts/proxima_calc.cpp "
build_cpp_command += (
"-o smart_mpc_trajectory_follower/scripts/proxima_calc$(python3-config --extension-suffix) "
)
build_cpp_command += "-lrt -I/usr/include/eigen3"
os.system(build_cpp_command)

so_path = (
"scripts/"
+ glob.glob("smart_mpc_trajectory_follower/scripts/proxima_calc.*.so")[0].split("/")[-1]
)
setup(
name="smart_mpc_trajectory_follower",
version="1.0.0",
packages=find_packages(),
package_data={
"smart_mpc_trajectory_follower": ["package_path.json", so_path],
},
)
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__pycache__/
*.json
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import os
from pathlib import Path
import shutil

import smart_mpc_trajectory_follower

if __name__ == "__main__":
package_dir = str(Path(smart_mpc_trajectory_follower.__file__).parent)

remove_dirs = [
package_dir + "/__pycache__",
package_dir + "/scripts/__pycache__",
package_dir + "/training_and_data_check/__pycache__",
]
for i in range(len(remove_dirs)):
if os.path.isdir(remove_dirs[i]):
shutil.rmtree(remove_dirs[i])
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mpc_parameter:
system:
mode: ilqr
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mpc_setting:
ctrl_time_step: 0.03333
mpc_freq: 3
N: 50
steer_ctrl_queue_size: 50
steer_ctrl_queue_size_core: 15
acc_ctrl_queue_size: 12
nx_0: 6
nu_0: 2
timing_Q_c: [25]
cost_parameters:
Q: [0.0, 10.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
Q_c: [1e+2, 1e+8, 1e+6, 1e+3, 1.0, 1.0, 1.0, 1.0]
Q_f: [1e+2, 1e+8, 1e+2, 1e+8, 1.0, 1.0, 1.0, 1.0]
R: [10.0, 1000.0]
acc_lim_weight: 100.0
steer_lim_weight: 100.0
acc_rate_lim_weight: 10000.0
steer_rate_lim_weight: 10000.0
min_steer_rate_transform_for_start: 0.01
power_steer_rate_transform_for_start: 5
coef_steer_rate_transform_for_start: 3.0
min_loose_lateral_cost: 0.00001
power_loose_lateral_cost: 10
threshold_loose_lateral_cost: 0.2
min_loose_yaw_cost: 0.00001
power_loose_yaw_cost: 1
threshold_loose_yaw_cost: 0.1
ilqr:
ls_step: 0.9
max_iter_ls: 10
max_iter_ilqr: 1
ilqr_tol: 0.01
mppi:
lam: 0.1
Sigma: [1e-15, 0.01]
max_iter_mppi: 1
sample_num: 100
mppi_tol: 0.01
mppi_step: 20
preprocessing:
reference_horizon: 50
cap_pred_error: [0.5, 2.0]
use_sg_for_nominal_inputs: true
sg_deg_for_nominal_inputs: 0
sg_window_size_for_nominal_inputs: 10
to_be_deprecated:
tighten_horizon: 20
min_tighten_steer_rate: 1.0
power_tighten_steer_rate_by_lateral_error: 1
threshold_tighten_steer_rate_by_lateral_error: 0.05
power_tighten_steer_rate_by_yaw_error: 1
threshold_tighten_steer_rate_by_yaw_error: 0.05
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# default parameter is set for sample_vehicle of AWF: https://github.com/autowarefoundation/sample_vehicle_launch/tree/main/sample_vehicle_description
nominal_parameter:
vehicle_info:
wheel_base: 2.79
acceleration:
acc_time_delay: 0.1
acc_time_constant: 0.1
steering:
steer_time_delay: 0.27
steer_time_constant: 0.24
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trained_model_parameter:
control_application:
use_trained_model: false
update_trained_model: false
max_train_data_size: 10000
error_decay: [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]
use_trained_model_diff: true
use_sg_for_trained_model_diff: true
sg_deg_for_trained_model_diff: 0
sg_window_size_for_trained_model_diff: 25
use_sg_for_noise: true
sg_deg_for_noise: 0
sg_window_size_for_noise: 15
use_x_noise: false
use_y_noise: false
use_v_noise: false
use_theta_noise: false
use_acc_noise: false
use_steer_noise: false
smoothing:
acc_sigma_for_learning: 5.0
steer_sigma_for_learning: 5.0
acc_des_sigma_for_learning: 5.0
steer_des_sigma_for_learning: 5.0
x_out_sigma_for_learning: 30.0
y_out_sigma_for_learning: 30.0
v_out_sigma_for_learning: 30.0
theta_out_sigma_for_learning: 10.0
acc_out_sigma_for_learning: 5.0
steer_out_sigma_for_learning: 5.0
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# workspace specific settings
train_drive_*.png
test_feedforward_*/
test_pure_pursuit_*/
test_python_*/
python_sim_log_*/
sim_setting.json
auto_test_result_*.csv
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default, 0.00, 1.39, 2.78, 4.17, 5.56, 6.94, 8.33, 9.72, 11.11, 12.50, 13.89, 15.28, 16.67
-4.0, -4.40, -4.36, -4.38, -4.12, -4.20, -3.94, -3.98, -3.80, -3.77, -3.76, -3.59, -3.50, -3.40
-3.5, -4.00, -3.91, -3.85, -3.64, -3.68, -3.55, -3.42, -3.24, -3.25, -3.00, -3.04, -2.93, -2.80
-3.0, -3.40, -3.37, -3.33, -3.00, -3.00, -2.90, -2.88, -2.65, -2.43, -2.44, -2.43, -2.39, -2.30
-2.5, -2.80, -2.72, -2.72, -2.62, -2.41, -2.43, -2.26, -2.18, -2.11, -2.03, -1.96, -1.91, -1.85
-2.0, -2.30, -2.24, -2.12, -2.02, -1.92, -1.81, -1.67, -1.58, -1.51, -1.49, -1.40, -1.35, -1.30
-1.5, -1.70, -1.61, -1.47, -1.46, -1.40, -1.37, -1.29, -1.24, -1.10, -0.99, -0.83, -0.80, -0.78
-1.0, -1.30, -1.28, -1.10, -1.09, -1.04, -1.02, -0.98, -0.89, -0.82, -0.61, -0.52, -0.54, -0.56
-0.8, -0.96, -0.90, -0.82, -0.74, -0.70, -0.65, -0.63, -0.59, -0.55, -0.44, -0.39, -0.39, -0.35
-0.6, -0.77, -0.71, -0.67, -0.65, -0.58, -0.52, -0.51, -0.50, -0.40, -0.33, -0.30, -0.31, -0.30
-0.4, -0.45, -0.40, -0.45, -0.44, -0.38, -0.35, -0.31, -0.30, -0.26, -0.30, -0.29, -0.31, -0.25
-0.2, -0.24, -0.24, -0.25, -0.22, -0.23, -0.25, -0.27, -0.29, -0.24, -0.22, -0.17, -0.18, -0.12
0.0, 0.00, 0.00, -0.05, -0.05, -0.05, -0.05, -0.08, -0.08, -0.08, -0.08, -0.10, -0.10, -0.10
0.2, 0.16, 0.12, 0.02, 0.02, 0.00, 0.00, -0.05, -0.05, -0.05, -0.05, -0.08, -0.08, -0.08
0.4, 0.38, 0.30, 0.22, 0.25, 0.24, 0.23, 0.20, 0.16, 0.16, 0.14, 0.10, 0.05, 0.05
0.6, 0.52, 0.52, 0.51, 0.49, 0.43, 0.40, 0.35, 0.33, 0.33, 0.33, 0.32, 0.34, 0.34
0.8, 0.82, 0.81, 0.78, 0.68, 0.63, 0.56, 0.53, 0.48, 0.43, 0.41, 0.37, 0.38, 0.40
1.0, 1.00, 1.08, 1.01, 0.88, 0.76, 0.69, 0.66, 0.58, 0.54, 0.49, 0.45, 0.40, 0.40
1.5, 1.52, 1.50, 1.38, 1.26, 1.14, 1.03, 0.91, 0.82, 0.67, 0.61, 0.51, 0.41, 0.41
2.0, 1.80, 1.80, 1.64, 1.43, 1.25, 1.11, 0.96, 0.81, 0.70, 0.59, 0.51, 0.42, 0.42
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