generated from wessel/boilerplate
fix(data_sim): Add param file, add working implementation
This commit is contained in:
33
src/g2_2025_odometry_pkg/config/opt.yaml
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33
src/g2_2025_odometry_pkg/config/opt.yaml
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@@ -0,0 +1,33 @@
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data_simulator:
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ros__parameters:
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publish_rate: 10.0
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linear_x:
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num_intervals: 2
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interval_0:
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type: "linear"
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t_start: 0.0
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t_end: 5.0
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y_start: 0.0
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y_end: 9.81
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interval_1:
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type: "linear"
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t_start: 10.0
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t_end: 15.0
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y_start: 9.81
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y_end: 0.0
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angular_z:
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num_intervals: 1
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interval_0:
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type: "constant"
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t_start: 2.0
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y_start: 1.57
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angular_x:
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num_intervals: 1
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interval_0:
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type: "quadratic"
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t_start: 3.0
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y_start: 0.785
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t_mid: 4.5
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y_mid: 1.57
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t_end: 6.0
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y_end: 0.0
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@@ -2,14 +2,85 @@
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namespace assignments::three::data_simulator_node {
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DataSimulator::DataSimulator() {
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DataSimulator::DataSimulator() : Node("data_simulator") {
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RCLCPP_INFO(this->get_logger(), "DataSimulator node created");
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start_time_ = this->now();
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this->declare_parameter("publish_rate", 10.0);
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double rate = this->get_parameter("publish_rate").as_double();
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this->declare_parameter("max_intervals", 4);
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max_intervals_ = this->get_parameter("max_intervals").as_int();
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axes_ = { "linear_x", "linear_y", "linear_z", "angular_x", "angular_y", "angular_z" };
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for (const auto& axis : axes_) {
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// Declare number of intervals
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this->declare_parameter(axis + ".num_intervals", 0);
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int num_intervals = this->get_parameter(axis + ".num_intervals").as_int();
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RCLCPP_INFO(this->get_logger(), "Loading %d intervals for axis '%s'", num_intervals, axis.c_str());
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std::vector<IntervalConfig> intervals;
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// Load up to 4 intervals
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for (int i = 0; i < std::min(num_intervals, max_intervals_); i++) {
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std::string prefix = axis + ".interval_" + std::to_string(i);
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this->declare_parameter(prefix + ".type", "constant");
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this->declare_parameter(prefix + ".t_start", 0.0);
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this->declare_parameter(prefix + ".t_end", 0.0);
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this->declare_parameter(prefix + ".y_start", 0.0);
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this->declare_parameter(prefix + ".y_end", 0.0);
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this->declare_parameter(prefix + ".t_mid", 0.0);
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this->declare_parameter(prefix + ".y_mid", 0.0);
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IntervalConfig config;
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std::string type_str = this->get_parameter(prefix + ".type").as_string();
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if (type_str == "constant") {
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config.type = SimType::CONSTANT;
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} else if (type_str == "linear") {
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config.type = SimType::LINEAR;
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} else if (type_str == "quadratic") {
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config.type = SimType::QUADRATIC;
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} else {
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RCLCPP_WARN(this->get_logger(), "Unknown interval type '%s', defaulting to 'constant'", type_str.c_str());
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config.type = SimType::CONSTANT;
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}
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config.t_start = this->get_parameter(prefix + ".t_start").as_double();
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config.t_end = this->get_parameter(prefix + ".t_end").as_double();
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config.y_start = this->get_parameter(prefix + ".y_start").as_double();
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config.y_end = this->get_parameter(prefix + ".y_end").as_double();
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config.t_mid = this->get_parameter(prefix + ".t_mid").as_double();
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config.y_mid = this->get_parameter(prefix + ".y_mid").as_double();
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intervals.push_back(config);
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}
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// Log loaded intervals
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for (size_t j = 0; j < intervals.size(); ++j) {
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const auto& cfg = intervals[j];
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const char* type_str = (cfg.type == SimType::CONSTANT) ? "constant" :
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(cfg.type == SimType::LINEAR) ? "linear" : "quadratic";
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RCLCPP_INFO(this->get_logger(),
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"Axis '%s' Interval %zu: type='%s', t_start=%.6f, t_end=%.6f, y_start=%.6f, y_end=%.6f, t_mid=%.6f, y_mid=%.6f",
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axis.c_str(), j, type_str,
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cfg.t_start, cfg.t_end, cfg.y_start, cfg.y_end, cfg.t_mid, cfg.y_mid
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);
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}
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axis_intervals_[axis] = intervals;
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}
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imu_publisher_ = this->create_publisher<sensor_msgs::msg::Imu>("simulated_imu_data", 10);
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RCLCPP_INFO(this->get_logger(), "Created IMU Publisher on topic 'simulated_imu_data'");
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// Use publish_rate parameter
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int timer_ms = static_cast<int>(1000.0 / rate);
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RCLCPP_INFO(this->get_logger(), "Publishing at %.1f Hz (every %d ms)", rate, timer_ms);
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timer_ = this->create_wall_timer(
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std::chrono::milliseconds(100),
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std::chrono::milliseconds(timer_ms),
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std::bind(&DataSimulator::publish_imu_data, this)
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);
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}
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@@ -24,14 +95,94 @@ void DataSimulator::publish_imu_data() {
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imu_msg->header.stamp = this->now();
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imu_msg->header.frame_id = "imu_link";
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// Calculate elapsed time since node start
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double elapsed_time = (this->now() - start_time_).seconds();
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// Get values for each axis
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imu_msg->linear_acceleration.x = get_axis_value("linear_x", elapsed_time);
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imu_msg->linear_acceleration.y = get_axis_value("linear_y", elapsed_time);
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imu_msg->linear_acceleration.z = get_axis_value("linear_z", elapsed_time);
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imu_msg->angular_velocity.x = get_axis_value("angular_x", elapsed_time);
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imu_msg->angular_velocity.y = get_axis_value("angular_y", elapsed_time);
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imu_msg->angular_velocity.z = get_axis_value("angular_z", elapsed_time);
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RCLCPP_INFO(this->get_logger(),
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"Publishing Simulated IMU Data - Accel: [%.3f, %.3f, %.3f], Gyro: [%.3f, %.3f, %.3f]",
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"t=%.2fs - Accel: [%.3f, %.3f, %.3f], Gyro: [%.3f, %.3f, %.3f]",
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elapsed_time,
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imu_msg->linear_acceleration.x, imu_msg->linear_acceleration.y, imu_msg->linear_acceleration.z,
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imu_msg->angular_velocity.x, imu_msg->angular_velocity.y, imu_msg->angular_velocity.z
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);
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imu_publisher_->publish(*imu_msg);
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}
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double DataSimulator::compute_value(double t, const IntervalConfig& interval) {
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// Check if time is within interval
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if (t < interval.t_start || t > interval.t_end) {
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return 0.0;
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}
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switch (interval.type) {
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case SimType::CONSTANT:
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// Constant: y = c
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return interval.y_start;
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case SimType::LINEAR: {
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// Linear interpolation: y = y0 + (y1 - y0) * (t - t0) / (t1 - t0)
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double t0 = interval.t_start;
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double t1 = interval.t_end;
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double y0 = interval.y_start;
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double y1 = interval.y_end;
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double L0 = (t - t1) / (t0 - t1);
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double L1 = (t - t0) / (t1 - t0);
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return y0 * L0 + y1 * L1;
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// if (t1 - t0 == 0.0) return y0;
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// return y0 + (y1 - y0) * (t - t0) / (t1 - t0);
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}
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case SimType::QUADRATIC: {
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// Quadratic using Lagrange interpolation through 3 points
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double t0 = interval.t_start;
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double t1 = interval.t_mid;
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double t2 = interval.t_end;
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double y0 = interval.y_start;
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double y1 = interval.y_mid;
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double y2 = interval.y_end;
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double L0 = ((t - t1) * (t - t2)) / ((t0 - t1) * (t0 - t2));
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double L1 = ((t - t0) * (t - t2)) / ((t1 - t0) * (t1 - t2));
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double L2 = ((t - t0) * (t - t1)) / ((t2 - t0) * (t2 - t1));
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return y0 * L0 + y1 * L1 + y2 * L2;
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}
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}
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return 0.0;
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}
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double DataSimulator::get_axis_value(const std::string& axis, double t) {
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// Check if axis exists in configuration
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auto it = axis_intervals_.find(axis);
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if (it == axis_intervals_.end()) {
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return 0.0; // Default value if axis not configured
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}
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// Check each interval for this axis
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double last_value = 0.0;
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for (const auto& interval : it->second) {
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if (t >= interval.t_start && t <= interval.t_end) {
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// Currently in this interval
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return compute_value(t, interval);
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} else if (t > interval.t_end) {
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// Past this interval - remember its end value for holding
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last_value = compute_value(interval.t_end, interval);
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}
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}
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// Not in any interval - return last known value (or 0.0 if before all intervals)
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return last_value;
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}
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} // namespace assignments::three::data_simulator_node
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@@ -2,18 +2,48 @@
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#include "rclcpp/rclcpp.hpp"
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#include "sensor_msgs/msg/imu.hpp"
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#include <vector>
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#include <string>
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#include <map>
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namespace assignments::three::data_simulator_node {
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enum class SimType {
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CONSTANT,
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LINEAR,
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QUADRATIC
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};
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struct IntervalConfig {
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SimType type;
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double t_start;
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double t_end;
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double y_start;
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double y_end;
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double t_mid; // For quadratic
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double y_mid; // For quadratic
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};
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class DataSimulator : public rclcpp::Node {
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public:
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DataSimulator();
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~DataSimulator();
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private:
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int max_intervals_;
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rclcpp::Publisher<sensor_msgs::msg::Imu>::SharedPtr imu_publisher_;
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rclcpp::TimerBase::SharedPtr timer_;
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rclcpp::Time start_time_;
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std::vector<std::string> axes_;
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std::map<std::string, std::vector<IntervalConfig>> axis_intervals_;
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void publish_imu_data();
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void parse_type();
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double compute_value(double t, const IntervalConfig& interval);
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double get_axis_value(const std::string& axis, double t);
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};
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} // namespace assignments::three::data_simulator_node
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