AutowareV2X/src/v2x_node.cpp

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#include "autoware_v2x/v2x_node.hpp"
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#include "autoware_v2x/v2x_app.hpp"
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#include "autoware_v2x/time_trigger.hpp"
#include "autoware_v2x/router_context.hpp"
#include "autoware_v2x/positioning.hpp"
#include "autoware_v2x/security.hpp"
#include "autoware_v2x/link_layer.hpp"
#include "autoware_v2x/cpm_application.hpp"
#include "autoware_v2x/cam_application.hpp"
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#include "rclcpp/rclcpp.hpp"
#include "std_msgs/msg/string.hpp"
#include <vanetza/asn1/cpm.hpp>
#include <vanetza/asn1/cam.hpp>
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#include <sstream>
#include <memory>
#include <boost/thread.hpp>
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#include <boost/date_time/posix_time/posix_time.hpp>
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#include "tf2/LinearMath/Quaternion.h"
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#include <chrono>
#include <iostream>
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#include <random>
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namespace gn = vanetza::geonet;
using namespace vanetza;
using namespace std::chrono;
namespace v2x
{
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V2XNode::V2XNode(const rclcpp::NodeOptions &node_options) : rclcpp::Node("autoware_v2x_node", node_options) {
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using std::placeholders::_1;
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objects_sub_ = this->create_subscription<autoware_auto_perception_msgs::msg::PredictedObjects>("/perception/object_recognition/objects", 10, std::bind(&V2XNode::objectsCallback, this, _1));
tf_sub_ = this->create_subscription<tf2_msgs::msg::TFMessage>("/tf", 10, std::bind(&V2XNode::tfCallback, this, _1));
// Topic subscriptions for CAMApplication
velocity_report_sub_ = this->create_subscription<autoware_auto_vehicle_msgs::msg::VelocityReport>("/vehicle/status/velocity_status", 10, std::bind(&V2XNode::velocityReportCallback, this, _1));
gear_report_sub_ = this->create_subscription<autoware_auto_vehicle_msgs::msg::GearReport>("/vehicle/status/gear_status", 10, std::bind(&V2XNode::gearReportCallback, this, _1));
steering_report_sub_ = this->create_subscription<autoware_auto_vehicle_msgs::msg::SteeringReport>("/vehicle/status/steering_status", 10, std::bind(&V2XNode::steeringReportCallback, this, _1));
get_vehicle_dimensions_ = this->create_subscription<autoware_adapi_v1_msgs::srv::GetVehicleDimensions::Response>("/api/vehicle/dimensions", 10, std::bind(&V2XNode::getVehicleDimensionsCallback, this, _1));
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cpm_objects_pub_ = create_publisher<autoware_auto_perception_msgs::msg::PredictedObjects>("/v2x/cpm/objects", rclcpp::QoS{10});
// cpm_sender_pub_ = create_publisher<autoware_auto_perception_msgs::msg::PredictedObjects>("/v2x/cpm/sender", rclcpp::QoS{10});
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// Declare Parameters
this->declare_parameter<std::string>("network_interface", "v2x_testing");
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this->declare_parameter<bool>("is_sender", true);
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// Launch V2XApp in a new thread
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app = new V2XApp(this);
boost::thread v2xApp(boost::bind(&V2XApp::start, app));
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RCLCPP_INFO(get_logger(), "V2X Node Launched");
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// Make latency_log file from current timestamp
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time_t t = time(nullptr);
const tm* lt = localtime(&t);
std::stringstream s;
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s << "20" << lt->tm_year-100 <<"-" << lt->tm_mon+1 << "-" << lt->tm_mday << "_" << lt->tm_hour << ":" << lt->tm_min << ":" << lt->tm_sec;
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std::string timestamp = s.str();
char cur_dir[1024];
getcwd(cur_dir, 1024);
std::string latency_log_filename = std::string(cur_dir) + "/latency_logs/latency_log_file_" + timestamp + ".csv";
latency_log_file.open(latency_log_filename, std::ios::out);
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}
void V2XNode::publishCpmSenderObject(double x_mgrs, double y_mgrs, double orientation) {
autoware_auto_perception_msgs::msg::PredictedObjects cpm_sender_object_msg;
std_msgs::msg::Header header;
rclcpp::Time current_time = this->now();
cpm_sender_object_msg.header.frame_id = "map";
cpm_sender_object_msg.header.stamp = current_time;
autoware_auto_perception_msgs::msg::PredictedObject object;
autoware_auto_perception_msgs::msg::ObjectClassification classification;
autoware_auto_perception_msgs::msg::Shape shape;
autoware_auto_perception_msgs::msg::PredictedObjectKinematics kinematics;
classification.label = autoware_auto_perception_msgs::msg::ObjectClassification::CAR;
classification.probability = 0.99;
shape.type = autoware_auto_perception_msgs::msg::Shape::BOUNDING_BOX;
shape.dimensions.x = 5.0;
shape.dimensions.y = 2.0;
shape.dimensions.z = 1.7;
kinematics.initial_pose_with_covariance.pose.position.x = x_mgrs;
kinematics.initial_pose_with_covariance.pose.position.y = y_mgrs;
kinematics.initial_pose_with_covariance.pose.position.z = 0.1;
tf2::Quaternion quat;
quat.setRPY(0, 0, orientation);
kinematics.initial_pose_with_covariance.pose.orientation.x = quat.x();
kinematics.initial_pose_with_covariance.pose.orientation.y = quat.y();
kinematics.initial_pose_with_covariance.pose.orientation.z = quat.z();
kinematics.initial_pose_with_covariance.pose.orientation.w = quat.w();
object.classification.emplace_back(classification);
object.shape = shape;
object.kinematics = kinematics;
cpm_sender_object_msg.objects.push_back(object);
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// publisher_v2x_cpm_sender_->publish(cpm_sender_object_msg);
}
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void V2XNode::publishObjects(std::vector<CpmApplication::Object> *objectsStack, int cpm_num) {
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autoware_auto_perception_msgs::msg::PredictedObjects output_dynamic_object_msg;
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std_msgs::msg::Header header;
rclcpp::Time current_time = this->now();
output_dynamic_object_msg.header.frame_id = "map";
output_dynamic_object_msg.header.stamp = current_time;
for (CpmApplication::Object obj : *objectsStack) {
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autoware_auto_perception_msgs::msg::PredictedObject object;
autoware_auto_perception_msgs::msg::ObjectClassification classification;
autoware_auto_perception_msgs::msg::Shape shape;
autoware_auto_perception_msgs::msg::PredictedObjectKinematics kinematics;
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classification.label = autoware_auto_perception_msgs::msg::ObjectClassification::CAR;
classification.probability = 0.99;
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shape.type = autoware_auto_perception_msgs::msg::Shape::BOUNDING_BOX;
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shape.dimensions.x = obj.shape_x / 10.0;
shape.dimensions.y = obj.shape_y / 10.0;
shape.dimensions.z = obj.shape_z / 10.0;
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kinematics.initial_pose_with_covariance.pose.position.x = obj.position_x;
kinematics.initial_pose_with_covariance.pose.position.y = obj.position_y;
kinematics.initial_pose_with_covariance.pose.position.z = 0.1;
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kinematics.initial_pose_with_covariance.pose.orientation.x = obj.orientation_x;
kinematics.initial_pose_with_covariance.pose.orientation.y = obj.orientation_y;
kinematics.initial_pose_with_covariance.pose.orientation.z = obj.orientation_z;
kinematics.initial_pose_with_covariance.pose.orientation.w = obj.orientation_w;
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object.classification.emplace_back(classification);
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object.shape = shape;
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object.kinematics = kinematics;
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std::mt19937 gen(std::random_device{}());
std::independent_bits_engine<std::mt19937, 8, uint8_t> bit_eng(gen);
std::generate(object.object_id.uuid.begin(), object.object_id.uuid.end(), bit_eng);
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output_dynamic_object_msg.objects.push_back(object);
}
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std::chrono::milliseconds ms = std::chrono::duration_cast<std::chrono::milliseconds> (
std::chrono::system_clock::now().time_since_epoch()
);
latency_log_file << "T_publish," << cpm_num << "," << ms.count() << std::endl;
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cpm_objects_pub_->publish(output_dynamic_object_msg);
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}
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void V2XNode::objectsCallback(const autoware_auto_perception_msgs::msg::PredictedObjects::ConstSharedPtr msg) {
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rclcpp::Time msg_time = msg->header.stamp; // timestamp included in the Autoware Perception Msg.
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std::chrono::milliseconds ms = std::chrono::duration_cast<std::chrono::milliseconds> (
std::chrono::system_clock::now().time_since_epoch()
);
latency_log_file << "T_rosmsg,," << ms.count() << std::endl;
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app->objectsCallback(msg);
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}
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void V2XNode::tfCallback(const tf2_msgs::msg::TFMessage::ConstSharedPtr msg) {
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app->tfCallback(msg);
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}
void V2XNode::velocityReportCallback(const autoware_auto_vehicle_msgs::msg::VelocityReport::ConstSharedPtr msg) {
app->velocityReportCallback(msg);
}
void V2XNode::gearReportCallback(const autoware_auto_vehicle_msgs::msg::GearReport::ConstSharedPtr msg) {
app->gearReportCallback(msg);
}
void V2XNode::steeringReportCallback(const autoware_auto_vehicle_msgs::msg::SteeringReport::ConstSharedPtr msg) {
app->steeringReportCallback(msg);
}
void V2XNode::getVehicleDimensionsCallback(const autoware_adapi_v1_msgs::srv::GetVehicleDimensions::Response::ConstSharedPtr msg) {
app->getVehicleDimensions(msg->dimensions);
}
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}
#include "rclcpp_components/register_node_macro.hpp"
RCLCPP_COMPONENTS_REGISTER_NODE(v2x::V2XNode)