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feat(object_lanelet_filter): add velocity direction based object lanelet filter #1315

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Original file line number Diff line number Diff line change
Expand Up @@ -9,3 +9,13 @@
MOTORCYCLE : false
BICYCLE : false
PEDESTRIAN : false

filter_settings:
# polygon overlap based filter
polygon_overlap_filter:
enabled: true
# velocity direction based filter
lanelet_direction_filter:
enabled: false
velocity_yaw_threshold: 0.785398 # [rad] (45 deg)
object_speed_threshold: 3.0 # [m/s]
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@

#include <lanelet2_extension/utility/message_conversion.hpp>
#include <lanelet2_extension/utility/query.hpp>
#include <lanelet2_extension/utility/utilities.hpp>
#include <rclcpp/rclcpp.hpp>
#include <tier4_autoware_utils/geometry/geometry.hpp>

Expand Down Expand Up @@ -52,17 +53,34 @@ class ObjectLaneletFilterNode : public rclcpp::Node

lanelet::LaneletMapPtr lanelet_map_ptr_;
lanelet::ConstLanelets road_lanelets_;
lanelet::ConstLanelets shoulder_lanelets_;
std::string lanelet_frame_id_;

tf2_ros::Buffer tf_buffer_;
tf2_ros::TransformListener tf_listener_;

utils::FilterTargetLabel filter_target_;

struct FilterSettings
{
bool polygon_overlap_filter;
bool lanelet_direction_filter;
double lanelet_direction_filter_velocity_yaw_threshold;
double lanelet_direction_filter_object_speed_threshold;
} filter_settings_;

bool filterObject(
const autoware_auto_perception_msgs::msg::DetectedObject & transformed_object,
const autoware_auto_perception_msgs::msg::DetectedObject & input_object,
const lanelet::ConstLanelets & intersected_road_lanelets,
const lanelet::ConstLanelets & intersected_shoulder_lanelets,
autoware_auto_perception_msgs::msg::DetectedObjects & output_object_msg);
LinearRing2d getConvexHull(const autoware_auto_perception_msgs::msg::DetectedObjects &);
lanelet::ConstLanelets getIntersectedLanelets(
const LinearRing2d &, const lanelet::ConstLanelets &);
bool isPolygonOverlapLanelets(const Polygon2d &, const lanelet::ConstLanelets &);
bool isSameDirectionWithLanelets(
const lanelet::ConstLanelets & lanelets,
const autoware_auto_perception_msgs::msg::DetectedObject & object);
geometry_msgs::msg::Polygon setFootprint(
const autoware_auto_perception_msgs::msg::DetectedObject &);
};
Expand Down
116 changes: 101 additions & 15 deletions perception/detected_object_validation/src/object_lanelet_filter.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,15 @@ ObjectLaneletFilterNode::ObjectLaneletFilterNode(const rclcpp::NodeOptions & nod
filter_target_.MOTORCYCLE = declare_parameter<bool>("filter_target_label.MOTORCYCLE", false);
filter_target_.BICYCLE = declare_parameter<bool>("filter_target_label.BICYCLE", false);
filter_target_.PEDESTRIAN = declare_parameter<bool>("filter_target_label.PEDESTRIAN", false);
// Set filter settings
filter_settings_.polygon_overlap_filter =
declare_parameter<bool>("filter_settings.polygon_overlap_filter.enabled");
filter_settings_.lanelet_direction_filter =
declare_parameter<bool>("filter_settings.lanelet_direction_filter.enabled");
filter_settings_.lanelet_direction_filter_velocity_yaw_threshold =
declare_parameter<double>("filter_settings.lanelet_direction_filter.velocity_yaw_threshold");
filter_settings_.lanelet_direction_filter_object_speed_threshold =
declare_parameter<double>("filter_settings.lanelet_direction_filter.object_speed_threshold");

// Set publisher/subscriber
map_sub_ = this->create_subscription<autoware_auto_mapping_msgs::msg::HADMapBin>(
Expand All @@ -60,6 +69,7 @@ void ObjectLaneletFilterNode::mapCallback(
lanelet::utils::conversion::fromBinMsg(*map_msg, lanelet_map_ptr_);
const lanelet::ConstLanelets all_lanelets = lanelet::utils::query::laneletLayer(lanelet_map_ptr_);
road_lanelets_ = lanelet::utils::query::roadLanelets(all_lanelets);
shoulder_lanelets_ = lanelet::utils::query::shoulderLanelets(all_lanelets);
}

void ObjectLaneletFilterNode::objectCallback(
Expand All @@ -85,29 +95,69 @@ void ObjectLaneletFilterNode::objectCallback(
// calculate convex hull
const auto convex_hull = getConvexHull(transformed_objects);
// get intersected lanelets
lanelet::ConstLanelets intersected_lanelets = getIntersectedLanelets(convex_hull, road_lanelets_);
lanelet::ConstLanelets intersected_road_lanelets =
getIntersectedLanelets(convex_hull, road_lanelets_);
lanelet::ConstLanelets intersected_shoulder_lanelets =
getIntersectedLanelets(convex_hull, shoulder_lanelets_);

int index = 0;
for (const auto & object : transformed_objects.objects) {
const auto footprint = setFootprint(object);
const auto & label = object.classification.front().label;
if (filter_target_.isTarget(label)) {
// filtering process
for (size_t index = 0; index < transformed_objects.objects.size(); ++index) {
const auto & transformed_object = transformed_objects.objects.at(index);
const auto & input_object = input_msg->objects.at(index);
filterObject(
transformed_object, input_object, intersected_road_lanelets, intersected_shoulder_lanelets,
output_object_msg);
}
object_pub_->publish(output_object_msg);
}

bool ObjectLaneletFilterNode::filterObject(
const autoware_auto_perception_msgs::msg::DetectedObject & transformed_object,
const autoware_auto_perception_msgs::msg::DetectedObject & input_object,
const lanelet::ConstLanelets & intersected_road_lanelets,
const lanelet::ConstLanelets & intersected_shoulder_lanelets,
autoware_auto_perception_msgs::msg::DetectedObjects & output_object_msg)
{
const auto & label = transformed_object.classification.front().label;
if (filter_target_.isTarget(label)) {
bool filter_pass = true;
// 1. is polygon overlap with road lanelets or shoulder lanelets
if (filter_settings_.polygon_overlap_filter) {
Polygon2d polygon;
const auto footprint = setFootprint(transformed_object);
for (const auto & point : footprint.points) {
const geometry_msgs::msg::Point32 point_transformed =
tier4_autoware_utils::transformPoint(point, object.kinematics.pose_with_covariance.pose);
const geometry_msgs::msg::Point32 point_transformed = tier4_autoware_utils::transformPoint(
point, transformed_object.kinematics.pose_with_covariance.pose);
polygon.outer().emplace_back(point_transformed.x, point_transformed.y);
}
polygon.outer().push_back(polygon.outer().front());
if (isPolygonOverlapLanelets(polygon, intersected_lanelets)) {
output_object_msg.objects.emplace_back(input_msg->objects.at(index));
}
} else {
output_object_msg.objects.emplace_back(input_msg->objects.at(index));
const bool is_polygon_overlap =
isPolygonOverlapLanelets(polygon, intersected_road_lanelets) ||
isPolygonOverlapLanelets(polygon, intersected_shoulder_lanelets);
filter_pass = filter_pass && is_polygon_overlap;
}
++index;

// 2. check if objects velocity is the same with the lanelet direction
const bool orientation_not_available =
transformed_object.kinematics.orientation_availability ==
autoware_auto_perception_msgs::msg::TrackedObjectKinematics::UNAVAILABLE;
if (filter_settings_.lanelet_direction_filter && !orientation_not_available) {
const bool is_same_direction =
isSameDirectionWithLanelets(intersected_road_lanelets, transformed_object) ||
isSameDirectionWithLanelets(intersected_shoulder_lanelets, transformed_object);
filter_pass = filter_pass && is_same_direction;
}

// push back to output object
if (filter_pass) {
output_object_msg.objects.emplace_back(input_object);
return true;
}
} else {
output_object_msg.objects.emplace_back(input_object);
return true;
}
object_pub_->publish(output_object_msg);
return false;
}

geometry_msgs::msg::Polygon ObjectLaneletFilterNode::setFootprint(
Expand Down Expand Up @@ -176,6 +226,42 @@ bool ObjectLaneletFilterNode::isPolygonOverlapLanelets(
return false;
}

bool ObjectLaneletFilterNode::isSameDirectionWithLanelets(
const lanelet::ConstLanelets & lanelets,
const autoware_auto_perception_msgs::msg::DetectedObject & object)
{
const double object_yaw = tf2::getYaw(object.kinematics.pose_with_covariance.pose.orientation);
const double object_velocity_norm = std::hypot(
object.kinematics.twist_with_covariance.twist.linear.x,
object.kinematics.twist_with_covariance.twist.linear.y);
const double object_velocity_yaw = std::atan2(
object.kinematics.twist_with_covariance.twist.linear.y,
object.kinematics.twist_with_covariance.twist.linear.x) +
object_yaw;

if (object_velocity_norm < filter_settings_.lanelet_direction_filter_object_speed_threshold) {
return true;
}
for (const auto & lanelet : lanelets) {
const bool is_in_lanelet =
lanelet::utils::isInLanelet(object.kinematics.pose_with_covariance.pose, lanelet, 0.0);
if (!is_in_lanelet) {
continue;
}
const double lane_yaw = lanelet::utils::getLaneletAngle(
lanelet, object.kinematics.pose_with_covariance.pose.position);
const double delta_yaw = object_velocity_yaw - lane_yaw;
const double normalized_delta_yaw = tier4_autoware_utils::normalizeRadian(delta_yaw);
const double abs_norm_delta_yaw = std::fabs(normalized_delta_yaw);

if (abs_norm_delta_yaw < filter_settings_.lanelet_direction_filter_velocity_yaw_threshold) {
return true;
}
}

return false;
}

} // namespace object_lanelet_filter

#include <rclcpp_components/register_node_macro.hpp>
Expand Down
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