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-Usage: - python 01_lane_changes.py - -Example: - python 01_lane_changes.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d -""" -import sys -import os -from openautomatumdronedata.dataset import droneDataset - - -def analyze_lane_changes(dataset_path): - print(f"Loading dataset from: {dataset_path}") - dataset = droneDataset(dataset_path) - dynWorld = dataset.dynWorld - - print(f"Vehicles found: {len(dynWorld)}") - - lane_change_counts = [] - - for dynObj in dynWorld.dynamicObjects.values(): - lane_ids = dynObj.lane_id_vec - if len(lane_ids) == 0: - continue - - changes = 0 - current_lane = lane_ids[0] - for lane in lane_ids[1:]: - if lane != current_lane: - changes += 1 - current_lane = lane - - lane_change_counts.append({ - "uuid": dynObj.UUID, - "type": dynObj.type, - "changes": changes, - }) - - sorted_by_changes = sorted(lane_change_counts, key=lambda x: x["changes"], reverse=True) - - print("\n--- Top 10 vehicles with most lane changes ---") - for idx, item in enumerate(sorted_by_changes[:10]): - print(f"{idx+1}. Vehicle {item['uuid']} ({item['type']}): {item['changes']} lane changes") - - -if __name__ == "__main__": - if len(sys.argv) < 2: - print("Usage: python 01_lane_changes.py ") - else: - analyze_lane_changes(sys.argv[1]) diff --git a/example_scripts/02_heatmap_density.py b/example_scripts/02_heatmap_density.py deleted file mode 100644 index f8478847060cb95ceab00cb293538219f86f230a..0000000000000000000000000000000000000000 --- a/example_scripts/02_heatmap_density.py +++ /dev/null @@ -1,58 +0,0 @@ -""" -Traffic Density Heatmap — Automatum Data Roundabout Dataset -Generates a 2D heatmap of all vehicle positions over time. - -Usage: - python 02_heatmap_density.py - -Example: - python 02_heatmap_density.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d - -Output: - traffic_heatmap.png in the current directory -""" -import sys -import os -import numpy as np -import matplotlib.pyplot as plt -from openautomatumdronedata.dataset import droneDataset - - -def generate_density_heatmap(dataset_path, output_filename="traffic_heatmap.png"): - print(f"Loading dataset from: {dataset_path}") - dataset = droneDataset(dataset_path) - dynWorld = dataset.dynWorld - - print("Extracting position data...") - all_x, all_y = [], [] - - for dynObj in dynWorld.dynamicObjects.values(): - x_valid = [x for x in dynObj.x_vec if not np.isnan(x)] - y_valid = [y for y in dynObj.y_vec if not np.isnan(y)] - all_x.extend(x_valid) - all_y.extend(y_valid) - - if not all_x: - print("No position data found!") - return - - print(f"Extracted {len(all_x)} data points. Creating heatmap...") - - plt.figure(figsize=(10, 10)) - plt.style.use("dark_background") - plt.hist2d(all_x, all_y, bins=(200, 200), cmap="inferno", cmin=1) - plt.colorbar(label="Traffic density (data points)") - plt.title("Roundabout Traffic Density Heatmap (Top-View)") - plt.xlabel("X-Position [m]") - plt.ylabel("Y-Position [m]") - plt.gca().set_aspect("equal", adjustable="box") - plt.tight_layout() - plt.savefig(output_filename, dpi=300) - print(f"Heatmap saved: {os.path.abspath(output_filename)}") - - -if __name__ == "__main__": - if len(sys.argv) < 2: - print("Usage: python 02_heatmap_density.py ") - else: - generate_density_heatmap(sys.argv[1]) diff --git a/example_scripts/03_high_acceleration.py b/example_scripts/03_high_acceleration.py deleted file mode 100644 index 114d5de72be515dfe05306ecd825d2da2d7f241e..0000000000000000000000000000000000000000 --- a/example_scripts/03_high_acceleration.py +++ /dev/null @@ -1,61 +0,0 @@ -""" -High Acceleration Detection — Automatum Data Roundabout Dataset -Detects vehicles exceeding a given acceleration threshold. - -Usage: - python 03_high_acceleration.py [threshold_m_s2] - -Example: - python 03_high_acceleration.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d 3.0 -""" -import sys -import os -import numpy as np -from openautomatumdronedata.dataset import droneDataset - - -def detect_high_accelerations(dataset_path, acc_threshold=3.0): - print(f"Loading dataset from: {dataset_path}") - dataset = droneDataset(dataset_path) - dynWorld = dataset.dynWorld - - print(f"Searching for accelerations > {acc_threshold} m/s^2...") - - high_accel_vehicles = [] - - for dynObj in dynWorld.dynamicObjects.values(): - length = min(len(dynObj.ax_vec), len(dynObj.ay_vec)) - if length == 0: - continue - - ax = np.array(dynObj.ax_vec[:length]) - ay = np.array(dynObj.ay_vec[:length]) - total_accel = np.sqrt(ax**2 + ay**2) - valid_accel = total_accel[~np.isnan(total_accel)] - - if len(valid_accel) > 0: - max_accel = np.max(valid_accel) - if max_accel > acc_threshold: - high_accel_vehicles.append({ - "uuid": dynObj.UUID, - "type": dynObj.type, - "max_accel": max_accel, - }) - - if not high_accel_vehicles: - print(f"No vehicles with acceleration > {acc_threshold} m/s^2 found.") - return - - sorted_vehicles = sorted(high_accel_vehicles, key=lambda x: x["max_accel"], reverse=True) - - print(f"\n--- {len(sorted_vehicles)} vehicles with notable acceleration ---") - for item in sorted_vehicles: - print(f"Vehicle {item['uuid']} ({item['type']}): max {item['max_accel']:.2f} m/s^2") - - -if __name__ == "__main__": - if len(sys.argv) < 2: - print("Usage: python 03_high_acceleration.py [threshold]") - else: - threshold = float(sys.argv[2]) if len(sys.argv) >= 3 else 3.0 - detect_high_accelerations(sys.argv[1], threshold) diff --git a/example_scripts/README.md b/example_scripts/README.md deleted file mode 100644 index 76f6b56d801234d10d39086489cd67cd55265d98..0000000000000000000000000000000000000000 --- a/example_scripts/README.md +++ /dev/null @@ -1,32 +0,0 @@ -# Example Scripts — Automatum Data Roundabout Dataset - -These scripts demonstrate how to work with the Automatum drone traffic data using the `openautomatumdronedata` Python library. - -## Prerequisites - -```bash -pip install openautomatumdronedata numpy matplotlib -``` - -## Scripts - -| Script | Description | -|--------|-------------| -| `01_lane_changes.py` | Analyzes lane change frequency per vehicle and shows the top 10 | -| `02_heatmap_density.py` | Creates a traffic density heatmap from all position data | -| `03_high_acceleration.py` | Detects vehicles exceeding an acceleration threshold | - -## Usage - -All scripts take the path to a recording folder as their first argument: - -```bash -python 01_lane_changes.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d -python 02_heatmap_density.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d -python 03_high_acceleration.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d 3.0 -``` - -## Learn More - -- [Full Documentation](https://openautomatumdronedata.readthedocs.io) -- [Automatum Data Website](https://automatum-data.com) diff --git a/website_information/.DS_Store b/website_information/.DS_Store deleted file mode 100644 index 7d56b052244e0778a3452abd6a3878545e334857..0000000000000000000000000000000000000000 Binary files a/website_information/.DS_Store and /dev/null differ diff --git a/website_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d_map.jpg b/website_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d_map.jpg deleted file mode 100644 index 8e570ff03c1da8367f77054ea0d2a7e7bdeed3e4..0000000000000000000000000000000000000000 --- a/website_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d_map.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4b1beebcc5bdc57872fdba8fd883c9d386d52d0d66b5270667a4a4959ba8eca3 -size 99981 diff --git a/website_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d_map.jpg b/website_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d_map.jpg deleted file mode 100644 index cbdecb69b1b13395022cec150bc6b4d0e835c167..0000000000000000000000000000000000000000 --- a/website_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d_map.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:6e4d7719de5733de6331cced73c38842dc9e7962fad78e0f531dd16a896c42ab -size 112023 diff --git a/website_information/bokeh_license.txt b/website_information/bokeh_license.txt deleted file mode 100644 index 951b36ac18b98a7c24ce3760e0f2fb92d51a9e56..0000000000000000000000000000000000000000 --- a/website_information/bokeh_license.txt +++ /dev/null @@ -1,28 +0,0 @@ -Copyright (c) 2012 - 2023, Anaconda, Inc., and Bokeh Contributors -All rights reserved. - -Redistribution and use in source and binary forms, with or without modification, -are permitted provided that the following conditions are met: - -Redistributions of source code must retain the above copyright notice, -this list of conditions and the following disclaimer. - -Redistributions in binary form must reproduce the above copyright notice, -this list of conditions and the following disclaimer in the documentation -and/or other materials provided with the distribution. - -Neither the name of Anaconda nor the names of any contributors -may be used to endorse or promote products derived from this software -without specific prior written permission. - -THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" -AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE -IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE -ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE -LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR -CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF -SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS -INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN -CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) -ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF -THE POSSIBILITY OF SUCH DAMAGE. \ No newline at end of file diff --git a/website_information/img/Illustration-3.jpg b/website_information/img/Illustration-3.jpg deleted file mode 100644 index 746a1c8878e3c37b49cdde2fcc555ce1c0bde3cf..0000000000000000000000000000000000000000 --- a/website_information/img/Illustration-3.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:0b9287acfe10df4dfaa33c3a1fc579acacca950477da2b18e397ad7363f91bf4 -size 2760658 diff --git "a/website_information/img/automatum_logo_waagerecht_gro\303\237.png" "b/website_information/img/automatum_logo_waagerecht_gro\303\237.png" deleted file mode 100644 index 1610c293a8144d88884a8125f47199c78f0e8466..0000000000000000000000000000000000000000 --- "a/website_information/img/automatum_logo_waagerecht_gro\303\237.png" +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:eded7ce43163ecb898166a7bc587235f59b15bd17856235867d404760ca54c3e -size 42970 diff --git a/website_information/img/icon_automatumd_data_roundaboud.jpg b/website_information/img/icon_automatumd_data_roundaboud.jpg deleted file mode 100644 index 2e0b2c217569db11d67d2d48f7e1c7e6f82d78ad..0000000000000000000000000000000000000000 --- a/website_information/img/icon_automatumd_data_roundaboud.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:345730127d848523e85e4dbb513a5386309a648c0ee1eb23398cc6ed4a875ccd -size 3432723 diff --git a/website_information/website_licence_information.json b/website_information/website_licence_information.json deleted file mode 100644 index a2b4373b30af9898db9f96ecc9e479c46f0e3b9e..0000000000000000000000000000000000000000 --- a/website_information/website_licence_information.json +++ /dev/null @@ -1 +0,0 @@ -{"number_of_hours": 0.11726541356170986, "number_of_kilometers": 26.003707263676624, "number_of_recordings": 2, "number_of_locations": 2, "date": "27.03.2023, 12:52:29", "version": "26bfa8c6-831b-4e31-a81e-48be9fe0123c", "max_length_trajectory": 125.5127824099631, "object_deviation": [{"title": "Car", "value": 207, "color": "#763626"}, {"title": "Truck", "value": 3, "color": "#336B87"}, {"title": "Van", "value": 2, "color": "#2A3132"}], "locations": {"Koesching": {"name": "Koesching", "number_of_recordings": 1, "number_of_hours": 0.03708337967597227, "number_of_kilometers": 8.032818074237637, "lat": 48.808699999999995, "long": 11.4804, "max_length_trajectory": 125.5127824099631, "number_of_objects": 64, "path_slider_img_one": "website_licence_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/sliding_img_base_cropped.jpg", "path_slider_img_two": "website_licence_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/sliding_img_whie_overlay_cropped.jpg", "path_map_png": "website_licence_information/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d/Roundabout-KoeschingerTor-Koesching_19bb-19bbabb9-6c81-4a15-af8c-50fc251a248d_map.jpg"}, "IngolstadtVOC": {"name": "IngolstadtVOC", "number_of_recordings": 1, "number_of_hours": 0.08018203388573758, "number_of_kilometers": 17.97088918943899, "lat": 48.784099999999995, "long": 11.4821, "max_length_trajectory": 121.42492695566884, "number_of_objects": 148, "path_slider_img_one": "website_licence_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/sliding_img_base_cropped.jpg", "path_slider_img_two": "website_licence_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/sliding_img_whie_overlay_cropped.jpg", "path_map_png": "website_licence_information/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d/Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d_map.jpg"}}} \ No newline at end of file