NavMap

NavMap is an open-source C++ and ROS 2 library for representing navigable surfaces for mobile robot navigation and localization. Unlike classic grid-based maps, NavMap stores the environment as triangular meshes (NavCels), enabling efficient queries and multi-surface environments (e.g., multi-floor buildings).

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✨ Features

• Triangular cell mesh representation with adjacency relations.
• Dynamic runtime layers: per-cell or per-vertex attributes (occupancy, elevation, cost, traversability, etc.).
• Locate API: find the NavCel under/around a 3D position using BVH acceleration and raycasting.
• Raytracing: Möller–Trumbore intersection with a simple BVH for efficiency.
• Multi-surface support: naturally supports multiple disconnected surfaces (e.g., separate floors).

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📂 Repository structure

This repository is organized into several ROS 2 packages:

• navmap_core/
  Core C++ library implementing NavMap. Minimal dependencies (Eigen3).

• navmap_ros/
  ROS 2 conversions and message definitions:

  • navmap::NavMap ↔ navmap_ros_interfaces::msg::NavMap
  • nav_msgs::msg::OccupancyGrid ↔ navmap::NavMap

• navmap_rviz_plugin/
  RViz2 plugin for visualization of NavMap messages:

  • Displays surfaces and layers.
  • Optional per-cell normal rendering.
  • Layer-based coloring.

• navmap_tools/
  Tools and utilities for building and testing NavMaps (mesh import/export, conversions, etc.)

• navmap_examples/
  Practical examples demonstrating the usage of NavMap, both core C++ API and ROS 2 integrations.

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⚙️ Build instructions

NavMap can be built as a standalone C++ library or within a ROS 2 workspace.

ROS 2 colcon build

# Clone into your ROS 2 workspace
cd ~/ros2_ws/src
git clone https://github.com/<your-org>/NavMap.git

# Build
cd ~/ros2_ws
colcon build --packages-up-to navmap_core navmap_ros navmap_rviz_plugin navmap_tools navmap_examples

# Source workspace
source install/setup.bash

Dependencies

• C++23 compiler
• Eigen3
• ROS 2 (tested with Humble, Iron, Jazzy)
• RViz2 (for the visualization plugin)
• PCL (for mesh construction utilities)

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🚀 Usage (C++ API)

C++ API

This section shows small, self-contained snippets that demonstrate how to create a NavMap, add geometry, attach layers, query values, and locate the triangle (NavCel) corresponding to a 3D position.

Note: After modifying geometry (vertices, triangles, or surfaces), always call rebuild_geometry_accels() before performing queries such as locate_navcel() or raycast().

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1. Create a minimal NavMap (single square floor with two triangles)

#include <navmap_core/NavMap.hpp>
#include <Eigen/Core>

using navmap::NavMap;
using navmap::NavCelId;

NavMap nm;

// Create a surface
std::size_t surf_idx = nm.create_surface("map");

// Add 4 vertices of a unit square (z=0)
uint32_t v0 = nm.add_vertex({0.f, 0.f, 0.f});
uint32_t v1 = nm.add_vertex({1.f, 0.f, 0.f});
uint32_t v2 = nm.add_vertex({1.f, 1.f, 0.f});
uint32_t v3 = nm.add_vertex({0.f, 1.f, 0.f});

// Add 2 triangles
NavCelId c0 = nm.add_navcel(v0, v1, v2);
NavCelId c1 = nm.add_navcel(v0, v2, v3);

// Assign them to the surface
nm.add_navcel_to_surface(surf_idx, c0);
nm.add_navcel_to_surface(surf_idx, c1);

// Build normals, adjacency, BVH, etc.
nm.rebuild_geometry_accels();

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2. Add a per-NavCel layer (cost or occupancy)

// Add a layer of type float called "cost"
auto cost = nm.add_layer<float>("cost", "Traversal cost", "" , 0.0f);

// Assign values to each triangle
nm.layer_set<float>("cost", c0, 1.0f);
nm.layer_set<float>("cost", c1, 5.0f);

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3. Read a layer value for a given NavCel

double v = nm.layer_get<double>("cost", c0);  // → 1.0

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4. Locate the NavCel corresponding to a 3D position

size_t surf_idx;
NavCelId cid;
Eigen::Vector3f bary, hit;

bool ok = nm.locate_navcel(Eigen::Vector3f(0.5f, 0.5f, 0.1f),
                           surf_idx, cid, bary, &hit);

if (ok) {
  std::cout << "Point belongs to surface " << surf_idx
            << ", NavCel " << cid
            << " with barycentric coords " << bary.transpose() << std::endl;
}

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5. Sample a layer at a world position

double val = nm.sample_layer_at("cost", Eigen::Vector3f(0.2f, 0.8f, 1.0f), -1.0);
if (!std::isnan(val)) {
  std::cout << "Cost at (0.2,0.8) is " << val << std::endl;
}

If the layer does not exist or the position cannot be located, the fallback value (-1.0 here) is returned.

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6. Raycasting

NavCelId hit_cid;
float t;
Eigen::Vector3f hit_pt;

bool hit = nm.raycast(
  Eigen::Vector3f(0.5f, 0.5f, 2.0f),   // origin
  Eigen::Vector3f(0.0f, 0.0f, -1.0f),  // direction
  hit_cid, t, hit_pt);

if (hit) {
  std::cout << "Ray hit NavCel " << hit_cid
            << " at " << hit_pt.transpose() << std::endl;
}

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7. Marking areas (set_area)

You can set values over regions of the map using shapes such as circular or rectangular areas:

// Add an occupancy layer
nm.add_layer<uint8_t>("occupancy", "Occupancy", "%", 0);

// Mark a circular area at (0.5,0.5) with radius 0.3
nm.set_area<uint8_t>(Eigen::Vector3f(0.5f, 0.5f, 0.0f),
                     (uint8_t)254,
                     "occupancy",
                     navmap::AreaShape::CIRCULAR,
                     0.3f);

// Mark a rectangular area centered at (0.8,0.2)
nm.set_area<uint8_t>(Eigen::Vector3f(0.8f, 0.2f, 0.0f),
                     (uint8_t)200,
                     "occupancy",
                     navmap::AreaShape::RECTANGULAR,
                     0.35f);

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8. Serialize to / from ROS messages

Conversion functions are provided in navmap_ros:

#include <navmap_ros/conversions.hpp>
#include <navmap_ros_interfaces/msg/nav_map.hpp>

// Convert to ROS message
navmap_ros_interfaces::msg::NavMap msg = navmap_ros::to_msg(nm);

// Convert back to core structure
navmap::NavMap nm2 = navmap_ros::from_msg(msg);

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9. Save and load from disk

NavMap supports saving and loading using YAML + mesh files:

#include <navmap_ros/map_io.hpp>

// Save NavMap to disk
navmap_ros::saveMapToFile(nm, "/tmp/navmap.yaml");

// Load NavMap from disk
navmap::NavMap nm3 = navmap_ros::loadMapFromYaml("/tmp/navmap.yaml");

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10. Classic low-level API

For advanced control you can still access internal data directly:

// Access vertex positions
Eigen::Vector3f v = nm.positions.at(0);

// Iterate over NavCels
for (const auto & cel : nm.navcels) {
  Eigen::Vector3f centroid = nm.navcel_centroid(&cel - &nm.navcels[0]);
  std::cout << "NavCel area: " << cel.area
            << " centroid: " << centroid.transpose() << std::endl;
}

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📦 Usage (Examples package)

In addition to the snippets above, the repository provides the package navmap_examples with ready-to-run executables.

Build

colcon build --packages-select navmap_examples

If your navmap_core / navmap_ros do not yet export CMake targets, you can provide include paths:

colcon build --packages-select navmap_examples   --cmake-args -DNAVMAP_CORE_INCLUDE_DIR=~/ros2_ws/src/NavMap/navmap_core/include                -DNAVMAP_ROS_INCLUDE_DIR=~/ros2_ws/src/NavMap/navmap_ros/include

Disable ROS 2 examples:

colcon build --packages-select navmap_examples --cmake-args -DBUILD_ROS_EXAMPLES=OFF

Run core examples

ros2 run navmap_examples 01_flat_plane
ros2 run navmap_examples 02_two_floors
ros2 run navmap_examples 03_slope_surface
ros2 run navmap_examples 04_layers
ros2 run navmap_examples 05_neighbors_and_centroids
ros2 run navmap_examples 06_area_marking
ros2 run navmap_examples 07_raycast
ros2 run navmap_examples 08_copy_and_assign

Each demonstrates a different feature: geometry creation, multi-surface, U8/F32 layers, centroids and neighbors, area marking, raycasting, and copy/assign semantics.

Run ROS 2 examples

If BUILD_ROS_EXAMPLES=ON:

ros2 run navmap_examples 01_from_occgrid
ros2 run navmap_examples 02_to_occgrid
ros2 run navmap_examples 03_save_load

Or via launch:

ros2 launch navmap_examples navmap_to_occgrid.launch.py

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🧪 Testing

NavMap provides unit tests with GTest. To run them:

colcon test --packages-select navmap_core navmap_ros
colcon test-result --verbose

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🤝 Contributing

Contributions are welcome! Please open issues and pull requests on GitHub.
Before submitting code, run the linters and tests:

colcon test
ament_lint_auto

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📜 License

This project is licensed under the Apache 2 License.
See the LICENSE file for details.

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🙏 Acknowledgements

Developed at the Intelligent Robotics Lab (Universidad Rey Juan Carlos).
Part of the Easy Navigation (EasyNav) project.