diff --git a/mola_demos/mola-cli-launchs/kitti360_just_replay.yaml b/mola_demos/mola-cli-launchs/kitti360_just_replay.yaml
new file mode 100644
index 00000000..3029509f
--- /dev/null
+++ b/mola_demos/mola-cli-launchs/kitti360_just_replay.yaml
@@ -0,0 +1,42 @@
+# -----------------------------------------------------------------------------
+# SLAM system definition for MOLA
+#
+# This file just plays the raw data of a sequence of the KITTI-360 dataset
+# -----------------------------------------------------------------------------
+
+modules:
+ # =====================
+ # Kitti360Dataset
+ # =====================
+ - type: mola::Kitti360Dataset
+ name: dataset_input
+ execution_rate: 20 # Hz
+ #export_to_rawlog: kitti_${KITTI360_SEQ}.rawlog
+ #verbosity_level: INFO
+ gui_preview_sensors:
+ - raw_sensor_label: lidar
+ decimation: 1
+ win_pos: 5 70 400 400
+ - raw_sensor_label: image_0
+ decimation: 1
+ win_pos: 5 370 600 200
+ - raw_sensor_label: image_1
+ decimation: 1
+ win_pos: 5 500 600 200
+ params:
+ base_dir: ${KITTI360_DATASET}
+ sequence: ${KITTI360_SEQ}
+ time_warp_scale: 1.0
+ start_paused: ${MOLA_DATASET_START_PAUSED|false}
+ publish_lidar: true
+ publish_image_0: true
+ publish_image_1: true
+ publish_ground_truth: true
+
+ # =====================
+ # MolaViz
+ # =====================
+ - name: viz
+ type: mola::MolaViz
+ #verbosity_level: DEBUG
+ params: ~ # none
diff --git a/mola_demos/mola-cli-launchs/kitti_just_replay.yaml b/mola_demos/mola-cli-launchs/kitti_just_replay.yaml
index 92b3b14d..b9ba6663 100644
--- a/mola_demos/mola-cli-launchs/kitti_just_replay.yaml
+++ b/mola_demos/mola-cli-launchs/kitti_just_replay.yaml
@@ -11,7 +11,7 @@ modules:
- type: mola::KittiOdometryDataset
name: dataset_input
execution_rate: 20 # Hz
- export_to_rawlog: kitti_${KITTI_SEQ}.rawlog
+ #export_to_rawlog: kitti_${KITTI_SEQ}.rawlog
#verbosity_level: INFO
gui_preview_sensors:
- raw_sensor_label: lidar
diff --git a/mola_input_kitti360_dataset/.clang-format b/mola_input_kitti360_dataset/.clang-format
new file mode 100644
index 00000000..d1df9d28
--- /dev/null
+++ b/mola_input_kitti360_dataset/.clang-format
@@ -0,0 +1,83 @@
+Language: Cpp
+BasedOnStyle: Google
+# ---
+#AccessModifierOffset: -4
+AlignAfterOpenBracket: AlwaysBreak # Values: Align, DontAlign, AlwaysBreak
+AlignConsecutiveAssignments: true
+AlignConsecutiveDeclarations: true
+#AlignEscapedNewlinesLeft: true
+#AlignOperands: false
+AlignTrailingComments: false # Should be off, causes many dummy problems!!
+#AllowAllParametersOfDeclarationOnNextLine: true
+AllowShortBlocksOnASingleLine: true
+#AllowShortCaseLabelsOnASingleLine: false
+#AllowShortFunctionsOnASingleLine: Empty
+#AllowShortIfStatementsOnASingleLine: false
+#AllowShortLoopsOnASingleLine: false
+#AlwaysBreakAfterDefinitionReturnType: None
+#AlwaysBreakAfterReturnType: None
+#AlwaysBreakBeforeMultilineStrings: true
+#AlwaysBreakTemplateDeclarations: true
+#BinPackArguments: false
+#BinPackParameters: false
+#BraceWrapping:
+ #AfterClass: false
+ #AfterControlStatement: false
+ #AfterEnum: false
+ #AfterFunction: false
+ #AfterNamespace: false
+ #AfterObjCDeclaration: false
+ #AfterStruct: false
+ #AfterUnion: false
+ #BeforeCatch: false
+ #BeforeElse: true
+ #IndentBraces: false
+#BreakBeforeBinaryOperators: None
+BreakBeforeBraces: Allman
+#BreakBeforeTernaryOperators: true
+#BreakConstructorInitializersBeforeComma: false
+ColumnLimit: 80
+#CommentPragmas: ''
+#ConstructorInitializerAllOnOneLineOrOnePerLine: true
+#ConstructorInitializerIndentWidth: 4
+#ContinuationIndentWidth: 4
+#Cpp11BracedListStyle: true
+#DerivePointerAlignment: false
+#DisableFormat: false
+#ExperimentalAutoDetectBinPacking: false
+##FixNamespaceComments: true # Not applicable in 3.8
+#ForEachMacros: [ foreach, Q_FOREACH, BOOST_FOREACH ]
+#IncludeCategories:
+ #- Regex: '.*'
+ #Priority: 1
+IndentCaseLabels: true
+IndentWidth: 4
+IndentWrappedFunctionNames: true
+#KeepEmptyLinesAtTheStartOfBlocks: true
+#MacroBlockBegin: ''
+#MacroBlockEnd: ''
+MaxEmptyLinesToKeep: 1
+NamespaceIndentation: None
+#PenaltyBreakBeforeFirstCallParameter: 19
+#PenaltyBreakComment: 300
+#PenaltyBreakFirstLessLess: 120
+#PenaltyBreakString: 1000
+#PenaltyExcessCharacter: 1000000
+#PenaltyReturnTypeOnItsOwnLine: 200
+DerivePointerAlignment: false
+#PointerAlignment: Left
+ReflowComments: true # Should be true, otherwise clang-format doesn't touch comments
+SortIncludes: true
+#SpaceAfterCStyleCast: false
+SpaceBeforeAssignmentOperators: true
+#SpaceBeforeParens: ControlStatements
+#SpaceInEmptyParentheses: false
+#SpacesBeforeTrailingComments: 2
+#SpacesInAngles: false
+#SpacesInContainerLiterals: true
+#SpacesInCStyleCastParentheses: false
+#SpacesInParentheses: false
+#SpacesInSquareBrackets: false
+Standard: Cpp11
+TabWidth: 4
+UseTab: Never # Available options are Never, Always, ForIndentation
diff --git a/mola_input_kitti360_dataset/CHANGELOG.rst b/mola_input_kitti360_dataset/CHANGELOG.rst
new file mode 100644
index 00000000..770383f7
--- /dev/null
+++ b/mola_input_kitti360_dataset/CHANGELOG.rst
@@ -0,0 +1,18 @@
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Changelog for package mola_input_kitti_dataset
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+0.2.2 (2023-09-08)
+------------------
+* Correct references to license
+* Fix published ground truth axis of reference
+* Fix wrong ground truth matrix indexing.
+* Contributors: Jose Luis Blanco-Claraco
+
+0.2.1 (2023-09-02)
+------------------
+
+* Implement ground-truth interface for KITTI
+* Update copyright date
+* Update to new colcon ROS2 build system
+* Contributors: Jose Luis Blanco-Claraco
diff --git a/mola_input_kitti360_dataset/CMakeLists.txt b/mola_input_kitti360_dataset/CMakeLists.txt
new file mode 100644
index 00000000..0217b3a4
--- /dev/null
+++ b/mola_input_kitti360_dataset/CMakeLists.txt
@@ -0,0 +1,40 @@
+# ------------------------------------------------------------------------------
+# A Modular Optimization framework for Localization and mApping
+# (MOLA)
+#
+# Copyright (C) 2018-2024, Jose Luis Blanco-Claraco, contributors (AUTHORS.md)
+# All rights reserved.
+# Released under GNU GPL v3. See LICENSE file
+# ------------------------------------------------------------------------------
+
+# Minimum CMake vesion: limited by CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS
+cmake_minimum_required(VERSION 3.4)
+
+# Tell CMake we'll use C++ for use in its tests/flags
+project(mola_input_kitti360_dataset LANGUAGES CXX)
+
+# MOLA CMake scripts: "mola_xxx()"
+find_package(mola_common REQUIRED)
+
+# find dependencies:
+find_package(mrpt-math) # for MRPT Eigen utilities
+find_package(mrpt-maps)
+
+find_mola_package(mola_kernel)
+
+# -----------------------
+# define lib:
+file(GLOB_RECURSE LIB_SRCS src/*.cpp src/*.h)
+file(GLOB_RECURSE LIB_PUBLIC_HDRS include/*.h)
+
+mola_add_library(
+ TARGET ${PROJECT_NAME}
+ SOURCES ${LIB_SRCS} ${LIB_PUBLIC_HDRS}
+ PUBLIC_LINK_LIBRARIES
+ mola::mola_kernel
+ PRIVATE_LINK_LIBRARIES
+ mrpt::maps
+ mrpt::math
+ CMAKE_DEPENDENCIES
+ mola_kernel
+)
diff --git a/mola_input_kitti360_dataset/LICENSE b/mola_input_kitti360_dataset/LICENSE
new file mode 100644
index 00000000..f288702d
--- /dev/null
+++ b/mola_input_kitti360_dataset/LICENSE
@@ -0,0 +1,674 @@
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc.
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+ Preamble
+
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+software and other kinds of works.
+
+ The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works. By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users. We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors. You can apply it to
+your programs, too.
+
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+price. Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
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diff --git a/mola_input_kitti360_dataset/README.md b/mola_input_kitti360_dataset/README.md
new file mode 100644
index 00000000..052c747f
--- /dev/null
+++ b/mola_input_kitti360_dataset/README.md
@@ -0,0 +1,11 @@
+# mola_input_kitti360_dataset
+Offline RawDataSource from Kitti-360 SLAM datasets
+
+Provided MOLA modules:
+* `Kitti360Dataset`, type RawDataSourceBase.
+
+## Build and install
+Refer to the [root MOLA repository](https://github.com/MOLAorg/mola).
+
+## License
+This package is released under the GNU GPL v3 license. Other options available upon request.
diff --git a/mola_input_kitti360_dataset/include/mola_input_kitti360_dataset/Kitti360Dataset.h b/mola_input_kitti360_dataset/include/mola_input_kitti360_dataset/Kitti360Dataset.h
new file mode 100644
index 00000000..5a77d7e8
--- /dev/null
+++ b/mola_input_kitti360_dataset/include/mola_input_kitti360_dataset/Kitti360Dataset.h
@@ -0,0 +1,237 @@
+/* -------------------------------------------------------------------------
+ * A Modular Optimization framework for Localization and mApping (MOLA)
+ * Copyright (C) 2018-2024 Jose Luis Blanco, University of Almeria
+ * See LICENSE for license information.
+ * ------------------------------------------------------------------------- */
+/**
+ * @file Kitti360Dataset.h
+ * @brief RawDataSource from Kitti-360 dataset
+ * @author Jose Luis Blanco Claraco
+ * @date Feb 23, 2024
+ */
+#pragma once
+
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+
+#include
+
+// fwrd decls:
+namespace mrpt::obs
+{
+class CObservationPointCloud;
+}
+
+namespace mola
+{
+/** RawDataSource from [Kitti-360
+ * datasets](https://www.cvlibs.net/datasets/kitti-360/).
+ *
+ * Each "sequence" directory contains these sensor streams:
+ * - `image_0` & `image_1`: Perspective cameras
+ * - `image_2` & `image_3`: Fish-eye cameras
+ * - `lidar`: Velodyne 3D LIDAR. Published as mrpt::obs::CObservationPointCloud
+ * with X,Y,Z,I channels.
+ * - Ground truth poses
+ *
+ * The sequence to load is determined by the `sequence` parameter (e.g. via
+ * config yaml file), from these possible values:
+ *
+ * \code
+ * sequence: 00|02|03|04|05|06|07|08|09|10|18|test_0|test_1|test_2|test_3
+ * \endcode
+ *
+ *
+ * Expected contents under `base_dir` directory (the result of using the
+ * download scripts provided by the KITTI-360 web):
+ *
+ * \code
+ * KITTI-360/
+ * ├── calibration
+ * │ ├── calib_cam_to_pose.txt
+ * │ ├── calib_cam_to_velo.txt
+ * │ ├── calib_sick_to_velo.txt
+ * │ ├── image_02.yaml
+ * │ ├── image_03.yaml
+ * │ └── perspective.txt
+ * │
+ * ├── data_3d_raw
+ * │ ├ 2013_05_28_drive_00xx_sync
+ * │ │ ├── cam0_to_world.txt
+ * │ │ ├── poses.txt
+ * │ │ └── velodyne_points
+ * │ │ ├── timestamps.txt
+ * │ │ └── data
+ * │ │ ├── 0000000000.bin
+ * │ │ ├── 0000000001.bin
+ * ... ... ...
+ * ├── data_2d_raw
+ * │ ├── 2013_05_28_drive_00xx_sync
+ * │ │ ├── image_00
+ * │ │ │ ├── data_rect
+ * │ │ │ │ ├ 0000000000.png
+ * │ │ │ │ ├ 0000000001.png
+ * │ │ │ │ ...
+ * │ │ │ └── timestamps.txt
+ * │ │ └── image_01
+ * │ │ ├── data_rect
+ * │ │ │ ├ 0000000000.png
+ * │ │ │ ├ 0000000001.png
+ * │ │ │ ...
+ * │ │ └── timestamps.txt
+ * ... ...
+ * ├── data_poses/
+ * │ ├── 2013_05_28_drive_00xx_sync
+ * │ │ ├── cam0_to_world.txt
+ * │ │ └── poses.txt
+ * ... ...
+ * └── data_3d_test_slam/
+ * ├── test_0
+ * │ └── 2013_05_28_drive_0008_sync
+ * │ └── velodyne_points
+ * │ ├── data
+ * │ └── timestamps.txt
+ * ├── test_1
+ * │ └── 2013_05_28_drive_0008_sync
+ * │ └── velodyne_points
+ * │ ├── data
+ * │ └── timestamps.txt
+ * ├── test_2
+ * │ └── 2013_05_28_drive_0004_sync
+ * │ └── velodyne_points
+ * │ ├── data
+ * │ └── timestamps.txt
+ * └── test_3
+ * └── 2013_05_28_drive_0002_sync
+ * └── velodyne_points
+ * ├── data
+ * └── timestamps.txt
+ * \endcode
+ *
+ * - Example `base_dir`: `/mnt/storage/KITTI-360/` (normally read from
+ * environment variable KITTI360_DATASET in mola-cli launch files).
+ * - Sequences: `01`, `02`, etc.
+ *
+ * \ingroup mola_input_kitti360_dataset_grp
+ */
+class Kitti360Dataset : public RawDataSourceBase,
+ public OfflineDatasetSource,
+ public Dataset_UI
+{
+ DEFINE_MRPT_OBJECT(Kitti360Dataset, mola)
+
+ public:
+ Kitti360Dataset();
+ ~Kitti360Dataset() override = default;
+
+ // See docs in base class
+ void initialize(const Yaml& cfg) override;
+ void spinOnce() override;
+ bool hasGroundTruthTrajectory() const override
+ {
+ return !groundTruthTrajectory_.empty();
+ }
+ trajectory_t getGroundTruthTrajectory() const override
+ {
+ return groundTruthTrajectory_;
+ }
+
+ /** Direct programmatic access to dataset observations.
+ * The type of the lidar observation can be either:
+ * - mrpt::obs::CObservationPointCloud (`clouds_as_organized_points_`=false)
+ * - mrpt::obs::CObservationRotatingScan
+ * (`clouds_as_organized_points_`=true)
+ */
+ std::shared_ptr getPointCloud(
+ timestep_t step) const;
+ std::shared_ptr getImage(
+ const unsigned int cam_idx, timestep_t step) const;
+
+ // See docs in base class:
+ size_t datasetSize() const override;
+
+ mrpt::obs::CSensoryFrame::Ptr datasetGetObservations(
+ size_t timestep) const override;
+
+ // Virtual interface of Dataset_UI (see docs in derived class)
+ size_t datasetUI_size() const override { return datasetSize(); }
+ size_t datasetUI_lastQueriedTimestep() const override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ return last_used_tim_index_;
+ }
+ double datasetUI_playback_speed() const override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ return time_warp_scale_;
+ }
+ void datasetUI_playback_speed(double speed) override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ time_warp_scale_ = speed;
+ }
+ bool datasetUI_paused() const override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ return paused_;
+ }
+ void datasetUI_paused(bool paused) override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ paused_ = paused;
+ }
+ void datasetUI_teleport(size_t timestep) override
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ teleport_here_ = timestep;
+ }
+
+ private:
+ bool initialized_ = false;
+ std::string base_dir_; //!< base dir for "sequences/*".
+ std::string sequence_; //!< "00", "01", ...
+ timestep_t replay_next_tim_index_{0};
+ bool publish_lidar_{true};
+ bool publish_ground_truth_{true};
+ std::array publish_image_{{true, true, true, true}};
+ std::array cam_intrinsics_;
+ std::array cam_poses_; //!< wrt vehicle origin
+ mrpt::poses::CPose3D velodyne_pose_; //!< wrt vehicle origin
+
+ std::optional last_play_wallclock_time_;
+ double last_dataset_time_ = 0;
+
+ std::array, 4> lst_image_;
+ std::array lst_image_basedir_;
+
+ std::vector lst_velodyne_;
+ std::string lst_velodyne_basedir_;
+
+ mrpt::math::CMatrixDouble groundTruthPoses_;
+ trajectory_t groundTruthTrajectory_;
+ mutable std::map
+ read_ahead_lidar_obs_;
+ mutable std::map>
+ read_ahead_image_obs_;
+
+ std::vector lstLidarTimestamps_;
+ double replay_time_{.0};
+
+ mutable timestep_t last_used_tim_index_ = 0;
+ bool paused_ = false;
+ double time_warp_scale_ = 1.0;
+ std::optional teleport_here_;
+ mutable std::mutex dataset_ui_mtx_;
+
+ void load_img(const unsigned int cam_idx, const timestep_t step) const;
+ void load_lidar(timestep_t step) const;
+
+ void autoUnloadOldEntries() const;
+};
+
+} // namespace mola
diff --git a/mola_input_kitti360_dataset/package.xml b/mola_input_kitti360_dataset/package.xml
new file mode 100644
index 00000000..d86327a7
--- /dev/null
+++ b/mola_input_kitti360_dataset/package.xml
@@ -0,0 +1,31 @@
+
+
+
+
+ mola_input_kitti360_dataset
+ 0.2.2
+ Offline RawDataSource from Kitti-360 datasets
+
+ Jose-Luis Blanco-Claraco
+ Jose-Luis Blanco-Claraco
+
+ https://github.com/MOLAorg/
+
+ GPLv3
+
+ mola_common
+ mola_kernel
+ mrpt2
+
+ doxygen
+
+
+ cmake
+
+ cmake
+
+
+
+
diff --git a/mola_input_kitti360_dataset/src/Kitti360Dataset.cpp b/mola_input_kitti360_dataset/src/Kitti360Dataset.cpp
new file mode 100644
index 00000000..57461f0e
--- /dev/null
+++ b/mola_input_kitti360_dataset/src/Kitti360Dataset.cpp
@@ -0,0 +1,702 @@
+/* -------------------------------------------------------------------------
+ * A Modular Optimization framework for Localization and mApping (MOLA)
+ * Copyright (C) 2018-2024 Jose Luis Blanco, University of Almeria
+ * See LICENSE for license information.
+ * ------------------------------------------------------------------------- */
+/**
+ * @file Kitti360Dataset.cpp
+ * @brief RawDataSource from Kitti-360 dataset
+ * @author Jose Luis Blanco Claraco
+ * @date Feb 23, 2024
+ */
+
+/** \defgroup mola_input_kitti360_dataset_grp mola-input-kitti360-dataset.
+ * RawDataSource from Kitti-360 datasets.
+ *
+ *
+ */
+
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include
+#include //ASSERT_DIRECTORY_EXISTS_()
+
+#include
+#include
+
+using namespace mola;
+
+// arguments: class_name, parent_class, class namespace
+IMPLEMENTS_MRPT_OBJECT(Kitti360Dataset, RawDataSourceBase, mola)
+
+MRPT_INITIALIZER(do_register_Kitti360Dataset)
+{
+ MOLA_REGISTER_MODULE(Kitti360Dataset);
+}
+
+Kitti360Dataset::Kitti360Dataset() = default;
+
+namespace
+{
+void build_list_files(
+ const std::string& dir, const std::string& file_extension,
+ std::vector& out_lst)
+{
+ out_lst.clear();
+ if (!mrpt::system::directoryExists(dir)) return;
+
+ using direxpl = mrpt::system::CDirectoryExplorer;
+ direxpl::TFileInfoList lstFiles;
+ direxpl::explore(dir, FILE_ATTRIB_ARCHIVE, lstFiles);
+ direxpl::sortByName(lstFiles);
+ direxpl::filterByExtension(lstFiles, file_extension);
+ out_lst.resize(lstFiles.size());
+ std::transform(
+ lstFiles.begin(), lstFiles.end(), out_lst.begin(),
+ [](auto& fil) { return fil.name; });
+}
+
+template
+void parse_calib_line(const std::string& line, MATRIX& M)
+{
+ MRPT_TRY_START
+
+ std::istringstream ss(line);
+ for (Eigen::Index r = 0; r < M.rows(); r++)
+ for (Eigen::Index c = 0; c < M.cols(); c++)
+ {
+ if (!(ss >> M(r, c)))
+ {
+ THROW_EXCEPTION_FMT(
+ "Error parsing calib line: `%s`", line.c_str());
+ }
+ }
+ MRPT_TRY_END
+}
+
+// format:
+// 2013-05-28 08:46:02.904295089
+// 2013-05-28 08:46:03.008671417
+// ...
+std::vector parseKitti360Timestamps(const std::string& fil)
+{
+ std::vector ts;
+
+ mrpt::io::CTextFileLinesParser parser(fil);
+
+ std::string line;
+ while (parser.getNextLine(line))
+ {
+ ASSERT_(line.size() > 25);
+ unsigned int year, month, day, hour, min;
+ double sec;
+
+ int nParsedFields = ::sscanf(
+ line.c_str(), "%04u-%02u-%02u %02u:%02u:%lf", &year, &month, &day,
+ &hour, &min, &sec);
+ ASSERT_EQUAL_(nParsedFields, 6);
+
+ mrpt::system::TTimeParts tp;
+ tp.year = year;
+ tp.month = month;
+ tp.day = day;
+ tp.hour = hour;
+ tp.minute = min;
+ tp.second = sec;
+
+ const auto t = mrpt::system::buildTimestampFromParts(tp);
+
+ ts.push_back(mrpt::Clock::toDouble(t));
+ }
+
+ return ts;
+}
+
+} // namespace
+
+void Kitti360Dataset::initialize(const Yaml& c)
+{
+ using namespace std::string_literals;
+
+ MRPT_START
+ ProfilerEntry tle(profiler_, "initialize");
+
+ MRPT_LOG_DEBUG_STREAM("Initializing with these params:\n" << c);
+
+ // Mandatory parameters:
+ ENSURE_YAML_ENTRY_EXISTS(c, "params");
+ auto cfg = c["params"];
+
+ YAML_LOAD_MEMBER_REQ(base_dir, std::string);
+ YAML_LOAD_MEMBER_REQ(sequence, std::string);
+
+ const std::string regExpr =
+ "(00|02|03|04|05|06|07|08|09|10|18|test_0|test_1|test_2|test_3)";
+ const auto seqRegex = std::regex(regExpr);
+
+ const std::string regExprTests = "(test_0|test_1|test_2|test_3)";
+ const auto seqRegexTests = std::regex(regExprTests);
+ const bool seqIsTest = std::regex_search(sequence_, seqRegexTests);
+
+ if (!std::regex_search(sequence_, seqRegex))
+ {
+ THROW_EXCEPTION_FMT(
+ "Error: sequence is '%s' but must be one of '%s'",
+ sequence_.c_str(), regExpr.c_str());
+ }
+
+ // Build path to lidar and images (see .h for expected tree layout)
+
+ // the "velodyne_points" dir, if it exists
+ std::string lidar_dir;
+ // the image_?? dirs, if they exists
+ std::array images_dirs;
+ std::string gt_file;
+
+ if (seqIsTest)
+ {
+ const std::map syncDirs = {
+ {'0', "2013_05_28_drive_0008_sync"},
+ {'1', "2013_05_28_drive_0008_sync"},
+ {'2', "2013_05_28_drive_0004_sync"},
+ {'3', "2013_05_28_drive_0002_sync"},
+ };
+ const std::string syncDir = syncDirs.at(sequence_.back());
+
+ lidar_dir = mrpt::system::pathJoin(
+ {base_dir_, "data_3d_test_slam", sequence_, syncDir,
+ "velodyne_points"});
+ MRPT_LOG_DEBUG_STREAM("Expected LIDAR dir: " << lidar_dir);
+
+ for (int i = 0; i < 4; i++)
+ images_dirs[i] = mrpt::system::pathJoin(
+ {base_dir_, "data_2d_test_slam", sequence_, syncDir,
+ mrpt::format("image_%02i", i)});
+ }
+ else
+ {
+ const std::string syncDir =
+ mrpt::format("2013_05_28_drive_00%s_sync", sequence_.c_str());
+
+ lidar_dir = mrpt::system::pathJoin(
+ {base_dir_, "data_3d_raw", syncDir, "velodyne_points"});
+ MRPT_LOG_DEBUG_STREAM("Expected LIDAR dir: " << lidar_dir);
+
+ for (int i = 0; i < 4; i++)
+ {
+ images_dirs[i] = mrpt::system::pathJoin(
+ {base_dir_, "data_2d_raw", syncDir,
+ mrpt::format("image_%02i", i)});
+
+ MRPT_LOG_DEBUG_STREAM("Expected images dir: " << images_dirs[i]);
+ }
+
+ gt_file = mrpt::system::pathJoin(
+ {base_dir_, "data_3d_raw", syncDir, "poses.txt"});
+ MRPT_LOG_DEBUG_STREAM("Expected GT file: " << gt_file);
+ }
+
+ // clear if does not exist:
+ if (!mrpt::system::directoryExists(lidar_dir)) lidar_dir.clear();
+ for (auto& imDir : images_dirs)
+ if (!mrpt::system::directoryExists(imDir)) imDir.clear();
+ if (!mrpt::system::fileExists(gt_file)) gt_file.clear();
+
+ // Optional params with default values:
+ YAML_LOAD_MEMBER_OPT(time_warp_scale, double);
+ paused_ = cfg.getOrDefault("start_paused", paused_);
+
+ YAML_LOAD_MEMBER_OPT(publish_lidar, bool);
+ YAML_LOAD_MEMBER_OPT(publish_ground_truth, bool);
+
+ for (unsigned int i = 0; i < 4; i++)
+ publish_image_[i] = cfg.getOrDefault(
+ mrpt::format("publish_image_%u", i), publish_image_[i]);
+
+ // Make list of all existing files and preload everything we may need later
+ // to quickly replay the dataset in realtime:
+ MRPT_LOG_INFO_STREAM("Loading kitti-360 dataset sequence: " << sequence_);
+
+ // Load LIDAR timestamps:
+ auto filLidarTimes = mrpt::system::pathJoin({lidar_dir, "timestamps.txt"});
+ ASSERT_FILE_EXISTS_(filLidarTimes); // TODO: make lidar optional?
+
+ lstLidarTimestamps_ = parseKitti360Timestamps(filLidarTimes);
+
+ const auto N = lstLidarTimestamps_.size();
+
+ lst_velodyne_basedir_ = mrpt::system::pathJoin({lidar_dir, "data"});
+ build_list_files(lst_velodyne_basedir_, "bin", lst_velodyne_);
+ if (!lst_velodyne_.empty())
+ ASSERTMSG_(lst_velodyne_.size() == N, "Velodyne: invalid file count");
+
+ MRPT_LOG_INFO_STREAM(
+ "Velodyne pointclouds: "
+ << (!lst_velodyne_.empty()
+ ? "Found ("s + std::to_string(lst_velodyne_.size()) + ")"s
+ : "Not found"));
+
+ for (unsigned int i = 0; i < 4; i++)
+ {
+ lst_image_basedir_[i] =
+ mrpt::system::pathJoin({images_dirs[i], "data_rect"});
+ build_list_files(lst_image_basedir_[i], "png", lst_image_[i]);
+ if (!lst_image_[i].empty())
+ ASSERTMSG_(
+ lst_image_[i].size() == N,
+ mrpt::format("image_%u: invalid file count", i));
+
+ MRPT_LOG_INFO_STREAM(
+ "Camera channel `image_"
+ << i << "`: "
+ << (!lst_image_[i].empty()
+ ? "Found ("s + std::to_string(lst_image_[i].size()) + ")"s
+ : "Not found"));
+
+ // Override user choice if not possible to publish images:
+ if (lst_image_[i].empty()) publish_image_[i] = false;
+ }
+
+ // Load sensors calibration:
+ const std::string filCalibCamToPose = lidar_dir = mrpt::system::pathJoin(
+ {base_dir_, "calibration", "calib_cam_to_pose.txt"});
+ const std::string filCalibCamToVelo = lidar_dir = mrpt::system::pathJoin(
+ {base_dir_, "calibration", "calib_cam_to_velo.txt"});
+ const std::string filCalibCameras00_01 = lidar_dir =
+ mrpt::system::pathJoin({base_dir_, "calibration", "perspective.txt"});
+
+ ASSERT_FILE_EXISTS_(filCalibCamToPose);
+ ASSERT_FILE_EXISTS_(filCalibCamToVelo);
+ ASSERT_FILE_EXISTS_(filCalibCameras00_01);
+
+ // Load projection matrices:
+ const auto calib = mrpt::containers::yaml::FromFile(filCalibCameras00_01);
+ ENSURE_YAML_ENTRY_EXISTS(calib, "P_rect_00");
+ ENSURE_YAML_ENTRY_EXISTS(calib, "R_rect_00");
+ ENSURE_YAML_ENTRY_EXISTS(calib, "P_rect_01");
+ ENSURE_YAML_ENTRY_EXISTS(calib, "R_rect_01");
+
+ std::array, 2> P01; // proj matrix (3x4)
+ std::array, 2> S01; // resolution (1x2)
+
+ // (T,R): not needed for rectified images
+ // std::array, 2> T01; // translation (3x1)
+ // std::array, 2> R01; // rotation (3x3)
+
+ for (int i = 0; i < 2; i++)
+ {
+ parse_calib_line(
+ calib[mrpt::format("P_rect_%02i", i)].as(), P01[i]);
+ parse_calib_line(
+ calib[mrpt::format("S_rect_%02i", i)].as(), S01[i]);
+
+ // parse_calib_line(calib[mrpt::format("T%02i", i)].as(),
+ // T01[i]);
+ // parse_calib_line(calib[mrpt::format("R_rect_%02i",
+ // i)].as(), R01[i]);
+ }
+
+ // IMU/GPS is the reference pose, but it's flipped (+Z downwards):
+ using namespace mrpt::literals; // _deg
+ const auto T_veh_gps =
+ mrpt::poses::CPose3D::FromYawPitchRoll(0.0_deg, 0.0_deg, 180.0_deg);
+
+ // Camera intrinsics:
+ for (unsigned int i = 0; i < 2; i++)
+ {
+ const double fx = P01[i](0, 0), fy = P01[i](1, 1), cx = P01[i](0, 2),
+ cy = P01[i](1, 2);
+ cam_intrinsics_[i].setIntrinsicParamsFromValues(fx, fy, cx, cy);
+
+ // Resolution:
+ cam_intrinsics_[i].ncols = S01[i][0];
+ cam_intrinsics_[i].nrows = S01[i][1];
+ }
+
+ // Velodyne pose wrt vehicle =
+ const auto yamlCamToPose =
+ mrpt::containers::yaml::FromFile(filCalibCamToPose);
+ for (int i = 0; i < 4; i++)
+ {
+ Eigen::Matrix4d T = Eigen::Matrix4d::Identity();
+ auto Tr = Eigen::Matrix();
+ parse_calib_line(
+ yamlCamToPose[mrpt::format("image_%02i", i)].as(), Tr);
+ T.block<3, 4>(0, 0) = Tr;
+
+ cam_poses_[i] = mrpt::poses::CPose3D::FromHomogeneousMatrix(T);
+ cam_poses_[i] = T_veh_gps + cam_poses_[i];
+
+ MRPT_LOG_DEBUG_STREAM("Camera 0" << i << " pose: " << cam_poses_[i]);
+ }
+
+ // velodyne -> image_00:
+ {
+ auto Tr = Eigen::Matrix();
+ parse_calib_line(mrpt::io::file_get_contents(filCalibCamToVelo), Tr);
+
+ Eigen::Matrix4d T_cam00_to_velo = Eigen::Matrix4d::Identity();
+ T_cam00_to_velo.block<3, 4>(0, 0) = Tr;
+
+ const auto cam00_to_velo =
+ mrpt::poses::CPose3D::FromHomogeneousMatrix(T_cam00_to_velo);
+
+ // T_velo = cam00 (+) ((-) cam00_to_velo)
+ velodyne_pose_ = cam_poses_[0] + (-cam00_to_velo);
+
+ MRPT_LOG_DEBUG_STREAM("cam00_to_velo : " << cam00_to_velo);
+ MRPT_LOG_DEBUG_STREAM("cam00_to_velo^-1 : " << (-cam00_to_velo));
+ MRPT_LOG_DEBUG_STREAM("Velodyne pose: " << velodyne_pose_);
+ }
+
+ // Load ground truth poses, if available:
+#if 0
+ const auto gtFile = base_dir_ + "/poses/"s + sequence_ + ".txt"s;
+ if (mrpt::system::fileExists(gtFile))
+ {
+ groundTruthPoses_.loadFromTextFile(gtFile);
+
+ ASSERT_EQUAL_(groundTruthPoses_.cols(), 12U);
+ ASSERT_EQUAL_(
+ static_cast(groundTruthPoses_.rows()),
+ lstLidarTimestamps_.size());
+
+ // Convert into the format expected by MOLA generic interface:
+ mrpt::math::CMatrixDouble44 m = mrpt::math::CMatrixDouble44::Identity();
+ const auto cam0PoseInv = -mrpt::poses::CPose3D(cam_poses_.at(0));
+
+ using namespace mrpt::literals; // _deg
+ const auto axisChange = mrpt::poses::CPose3D::FromYawPitchRoll(
+ -90.0_deg, 0.0_deg, -90.0_deg);
+
+ for (size_t i = 0; i < lstLidarTimestamps_.size(); i++)
+ {
+ for (int row = 0, ij_idx = 0; row < 3; row++)
+ for (int col = 0; col < 4; col++, ij_idx++)
+ m(row, col) = groundTruthPoses_(i, ij_idx);
+
+ // ground truth is for cam0:
+ const auto gtCam0Pose =
+ mrpt::poses::CPose3D::FromHomogeneousMatrix(m);
+
+ // Convert it to the vehicle frame, for consistency with all MOLA
+ // datasets:
+ const auto gtPose = axisChange + gtCam0Pose + cam0PoseInv;
+
+ groundTruthTrajectory_.insert(
+ mrpt::Clock::fromDouble(lstLidarTimestamps_.at(i)), gtPose);
+ }
+
+ MRPT_LOG_INFO("Ground truth poses: Found");
+ }
+ else
+ {
+ MRPT_LOG_WARN_STREAM(
+ "Ground truth poses: not found. Expected file: " << gtFile);
+ }
+#endif
+
+ initialized_ = true;
+
+ MRPT_END
+} // end initialize()
+
+void Kitti360Dataset::spinOnce()
+{
+ MRPT_START
+
+ ASSERT_(initialized_);
+
+ ProfilerEntry tleg(profiler_, "spinOnce");
+
+ const auto tNow = mrpt::Clock::now();
+
+ // Starting time:
+ if (!last_play_wallclock_time_) last_play_wallclock_time_ = tNow;
+
+ // get current replay time:
+ auto lckUIVars = mrpt::lockHelper(dataset_ui_mtx_);
+ const double time_warp_scale = time_warp_scale_;
+ const bool paused = paused_;
+ const auto teleport_here = teleport_here_;
+ teleport_here_.reset();
+ lckUIVars.unlock();
+
+ double dt = mrpt::system::timeDifference(*last_play_wallclock_time_, tNow) *
+ time_warp_scale;
+ last_play_wallclock_time_ = tNow;
+
+ // override by an special teleport order?
+ if (teleport_here.has_value() &&
+ *teleport_here < lstLidarTimestamps_.size())
+ {
+ replay_next_tim_index_ = *teleport_here;
+ last_dataset_time_ = lstLidarTimestamps_[replay_next_tim_index_];
+ }
+ else
+ {
+ if (paused) return;
+ // move forward replayed dataset time:
+ last_dataset_time_ += dt;
+ }
+
+ if (replay_next_tim_index_ >= lstLidarTimestamps_.size())
+ {
+ onDatasetPlaybackEnds(); // notify base class
+
+ MRPT_LOG_THROTTLE_INFO(
+ 10.0,
+ "End of dataset reached! Nothing else to publish (CTRL+C to quit)");
+ return;
+ }
+ else if (!lstLidarTimestamps_.empty())
+ {
+ MRPT_LOG_THROTTLE_INFO_FMT(
+ 5.0, "Dataset replay progress: %lu / %lu (%4.02f%%)",
+ static_cast(replay_next_tim_index_),
+ static_cast(lstLidarTimestamps_.size()),
+ (100.0 * replay_next_tim_index_) / (lstLidarTimestamps_.size()));
+ }
+
+ const double t0 = lstLidarTimestamps_.front();
+
+ // We have to publish all observations until "t":
+ while (replay_next_tim_index_ < lstLidarTimestamps_.size() &&
+ last_dataset_time_ >=
+ (lstLidarTimestamps_[replay_next_tim_index_] - t0))
+ {
+ MRPT_LOG_DEBUG_STREAM(
+ "Sending observations for replay time: "
+ << mrpt::system::formatTimeInterval(last_dataset_time_));
+
+ // Save one single timestamp for all observations, since they are in
+ // theory shynchronized in the Kitti datasets:
+ const auto obs_tim = mrpt::Clock::fromDouble(
+ lstLidarTimestamps_[replay_next_tim_index_]);
+
+ if (publish_lidar_)
+ {
+ ProfilerEntry tle(profiler_, "spinOnce.publishLidar");
+ load_lidar(replay_next_tim_index_);
+ auto o = read_ahead_lidar_obs_[replay_next_tim_index_];
+ // o->timestamp = obs_tim; // already done in load_lidar()
+ this->sendObservationsToFrontEnds(o);
+ }
+
+ for (unsigned int i = 0; i < 4; i++)
+ {
+ if (!publish_image_[i]) continue;
+ ProfilerEntry tle(profiler_, "spinOnce.publishImage");
+ load_img(i, replay_next_tim_index_);
+ auto o = read_ahead_image_obs_[replay_next_tim_index_][i];
+ // o->timestamp = obs_tim; // already done in load_img()
+ this->sendObservationsToFrontEnds(o);
+ }
+
+ if (publish_ground_truth_ &&
+ replay_next_tim_index_ < groundTruthTrajectory_.size())
+ {
+ // Get GT pose: it's already stored and correctly transformed
+ // into groundTruthTrajectory_:
+ auto it = groundTruthTrajectory_.begin();
+ std::advance(it, replay_next_tim_index_);
+
+ // Publish as robot pose observation:
+ auto o = mrpt::obs::CObservationRobotPose::Create();
+ o->sensorLabel = "ground_truth";
+ o->pose.mean = mrpt::poses::CPose3D(it->second);
+ // o->pose.cov? don't use
+ o->timestamp = obs_tim;
+
+ this->sendObservationsToFrontEnds(o);
+ }
+
+ // Free memory in read-ahead buffers:
+ read_ahead_lidar_obs_.erase(replay_next_tim_index_);
+ read_ahead_image_obs_.erase(replay_next_tim_index_);
+
+ replay_next_tim_index_++;
+ }
+
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ last_used_tim_index_ =
+ replay_next_tim_index_ > 0 ? replay_next_tim_index_ - 1 : 0;
+ }
+
+ // Read ahead to save delays in the next iteration:
+ if (replay_next_tim_index_ < lstLidarTimestamps_.size())
+ {
+ ProfilerEntry tle(profiler_, "spinOnce.read_ahead");
+ if (0 == read_ahead_image_obs_.count(replay_next_tim_index_))
+ {
+ for (unsigned int i = 0; i < 4; i++)
+ {
+ if (!publish_image_[i]) continue;
+ load_img(i, replay_next_tim_index_);
+ }
+ }
+ if (0 == read_ahead_lidar_obs_.count(replay_next_tim_index_))
+ {
+ if (publish_lidar_) load_lidar(replay_next_tim_index_);
+ }
+ }
+
+ MRPT_END
+}
+
+void Kitti360Dataset::load_img(
+ const unsigned int cam_idx, const timestep_t step) const
+{
+ MRPT_START
+
+ // unload() very old observations.
+ autoUnloadOldEntries();
+
+ // Already loaded?
+ if (read_ahead_image_obs_[step][cam_idx]) return;
+
+ ProfilerEntry tleg(profiler_, "load_img");
+
+ auto obs = mrpt::obs::CObservationImage::Create();
+ obs->sensorLabel = std::string("image_") + std::to_string(cam_idx);
+
+ ASSERTMSG_(
+ lst_image_[cam_idx].size() > replay_next_tim_index_,
+ mrpt::format("Missing image files for image_%u", cam_idx));
+ const auto f = mrpt::system::pathJoin(
+ {lst_image_basedir_[cam_idx], lst_image_[cam_idx][step]});
+
+ obs->image.setExternalStorage(f);
+
+ // Use this thread time to load images from disk, instead of
+ // delegating it to the first use of the image in the consumer:
+ obs->image.forceLoad();
+
+ obs->cameraParams = cam_intrinsics_[cam_idx];
+ obs->setSensorPose(mrpt::poses::CPose3D(cam_poses_[cam_idx]));
+ obs->timestamp = mrpt::Clock::fromDouble(lstLidarTimestamps_.at(step));
+
+ auto o = mrpt::ptr_cast::from(obs);
+ read_ahead_image_obs_[step][cam_idx] = std::move(o);
+
+ MRPT_END
+}
+
+void Kitti360Dataset::load_lidar(timestep_t step) const
+{
+ MRPT_START
+
+ // unload() very old observations.
+ autoUnloadOldEntries();
+
+ // Already loaded?
+ if (read_ahead_lidar_obs_[step]) return;
+
+ ProfilerEntry tleg(profiler_, "load_lidar");
+
+ // Load velodyne pointcloud:
+ const auto f =
+ mrpt::system::pathJoin({lst_velodyne_basedir_, lst_velodyne_[step]});
+
+ auto obs = mrpt::obs::CObservationPointCloud::Create();
+ obs->sensorLabel = "lidar";
+ obs->sensorPose = velodyne_pose_;
+ obs->setAsExternalStorage(
+ f,
+ mrpt::obs::CObservationPointCloud::ExternalStorageFormat::KittiBinFile);
+ obs->load(); // force loading now from disk
+ ASSERTMSG_(
+ obs->pointcloud,
+ mrpt::format("Error loading kitti scan file: '%s'", f.c_str()));
+
+ // Pose: velodyne is at the origin of the vehicle coordinates in
+ // Kitti datasets.
+ obs->sensorPose = mrpt::poses::CPose3D();
+ obs->timestamp = mrpt::Clock::fromDouble(lstLidarTimestamps_.at(step));
+
+#if 0 // Export clouds to txt for debugging externally (e.g. python, matlab)
+ obs->pointcloud->save3D_to_text_file(
+ mrpt::format("kitti_%s_%06zu.txt", sequence_.c_str(), step));
+#endif
+
+ mrpt::obs::CObservation::Ptr o;
+
+ o = std::dynamic_pointer_cast(obs);
+
+ // Store in the output queue:
+ read_ahead_lidar_obs_[step] = std::move(o);
+
+ MRPT_END
+}
+
+mrpt::obs::CObservation::Ptr Kitti360Dataset::getPointCloud(
+ timestep_t step) const
+{
+ ASSERT_(initialized_);
+ ASSERT_LT_(step, lstLidarTimestamps_.size());
+
+ load_lidar(step);
+ auto o = read_ahead_lidar_obs_.at(step);
+ return o;
+}
+
+std::shared_ptr Kitti360Dataset::getImage(
+ const unsigned int cam_idx, timestep_t step) const
+{
+ ASSERT_(initialized_);
+ ASSERT_LT_(step, lstLidarTimestamps_.size());
+
+ load_img(cam_idx, step);
+ auto o = std::dynamic_pointer_cast(
+ read_ahead_image_obs_.at(step).at(cam_idx));
+ ASSERT_(o);
+ return o;
+}
+
+size_t Kitti360Dataset::datasetSize() const
+{
+ ASSERT_(initialized_);
+ return lstLidarTimestamps_.size();
+}
+
+mrpt::obs::CSensoryFrame::Ptr Kitti360Dataset::datasetGetObservations(
+ size_t timestep) const
+{
+ {
+ auto lck = mrpt::lockHelper(dataset_ui_mtx_);
+ last_used_tim_index_ = timestep;
+ }
+
+ auto sf = mrpt::obs::CSensoryFrame::Create();
+
+ for (size_t i = 0; i < publish_image_.size(); i++)
+ {
+ if (!publish_image_[i]) continue;
+ sf->insert(getImage(i, timestep));
+ }
+
+ if (publish_lidar_) { sf->insert(getPointCloud(timestep)); }
+
+ return sf;
+}
+
+constexpr size_t MAX_UNLOAD_LEN = 250;
+
+void Kitti360Dataset::autoUnloadOldEntries() const
+{
+ while (read_ahead_lidar_obs_.size() > MAX_UNLOAD_LEN)
+ read_ahead_lidar_obs_.erase(read_ahead_lidar_obs_.begin());
+
+ while (read_ahead_image_obs_.size() > MAX_UNLOAD_LEN)
+ read_ahead_image_obs_.erase(read_ahead_image_obs_.begin());
+}