fix: fix links to raw-sensor-data

Signed-off-by: Ryohsuke Mitsudome <[email protected]>
autowarefoundation · May 7, 2024 · a8b2b85 · a8b2b85
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diff --git a/docs/datasets/.pages b/docs/datasets/.pages
@@ -1,4 +1,4 @@
 nav:
   - index.md
-  - Vehicle Sensor Data: vehicle-sensor-data
+  - Raw Sensor Data: raw-sensor-data
   - Annotated Data: annotated-data
diff --git a/docs/datasets/annotated-data/index.md b/docs/datasets/annotated-data/index.md
@@ -1,78 +1,12 @@
-# Raw Sensor Datasets
+# Annotated Dataset
 
-This page explains about the datsets collected from the sensors attached to a vehicle.
+## TIER IV Dataset
 
-## Bus-ODD (Operational Design Domain) datasets
+[Download Link](https://drive.google.com/drive/folders/1VVUq48NOjYQ9zHNEg3_GTU_FpFkkquxZ?usp=drive_link)
 
-### Leo Drive - ISUZU sensor data
+The data contains the following information with annotation:
 
-This dataset contains data from the Isuzu bus used in the Bus ODD project.
+- 63316 images from 6 camearas (All faces and license plates are blurred)
+- 13758 frames of lidar points
 
-The data contains data from following sensors:
-
-- 1 x VLP16
-- 2 x VLP32C
-- 1 x Applanix POS LV 120 GNSS/INS
-- 3 x Lucid Vision Triton 5.4MP cameras (left, right, front)
-- Vehicle status report
-
-It also contains `/tf` topic for static transformations between sensors.
-
-#### Required message types
-
-The GNSS data is available in `sensor_msgs/msg/NavSatFix` message type.
-
-But also the Applanix raw messages are also included in `applanix_msgs/msg/NavigationPerformanceGsof50` and `applanix_msgs/msg/NavigationSolutionGsof49` message types.
-In order to be able to play back these messages, you need to build and source the `applanix_msgs` package.
-
-```bash
-# Create a workspace and clone the repository
-mkdir -p ~/applanix_ws/src && cd "$_"
-git clone https://github.com/autowarefoundation/applanix.git
-cd ..
-
-# Build the workspace
-colcon build --symlink-install --packages-select applanix_msgs
-
-# Source the workspace
-source ~/applanix_ws/install/setup.bash
-
-# Now you can play back the messages
-```
-
-Also make sure to source Autoware Universe workspace too.
-
-#### Download instructions
-
-```console
-# Install awscli
-$ sudo apt update && sudo apt install awscli -y
-
-# This will download the entire dataset to the current directory.
-# (About 10.9GB of data)
-$ aws s3 sync s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/ ./2022-08-22_leo_drive_isuzu_bags  --no-sign-request
-
-# Optionally,
-# If you instead want to download a single bag file, you can get a list of the available files with following:
-$ aws s3 ls s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/ --no-sign-request
-   PRE all-sensors-bag1_compressed/
-   PRE all-sensors-bag2_compressed/
-   PRE all-sensors-bag3_compressed/
-   PRE all-sensors-bag4_compressed/
-   PRE all-sensors-bag5_compressed/
-   PRE all-sensors-bag6_compressed/
-   PRE driving_20_kmh_2022_06_10-16_01_55_compressed/
-   PRE driving_30_kmh_2022_06_10-15_47_42_compressed/
-
-# Then you can download a single bag file with the following:
-aws s3 sync s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/all-sensors-bag1_compressed/ ./all-sensors-bag1_compressed  --no-sign-request
-```
-
-### AutoCore.ai - lidar ROS 2 bag file and pcap
-
-This dataset contains pcap files and ros2 bag files from Ouster OS1-64 Lidar.
-The pcap file and ros2 bag file is recorded in the same time with slight difference in duration.
-
-[Click here to download (~553MB)](https://autoware-files.s3.us-west-2.amazonaws.com/collected_data/2022-04-14_autocore-lidar-bag-pcap/Lidar_Data_220414_bag_pcap.zip)
-
-[Reference Issue](https://github.com/autowarefoundation/autoware.universe/issues/562#issuecomment-1102662448)
+The data format is based on nuScenes and nuImages format. Form the details, please check this [link](https://github.com/tier4/tier4_perception_dataset/blob/main/docs/t4_format_3d_detailed.md).
diff --git a/docs/datasets/raw-sensor-data/index.md b/docs/datasets/raw-sensor-data/index.md
@@ -1,12 +1,78 @@
-# Annotated Dataset
+# Raw Sensor Datasets
 
-## TIER IV Dataset
+This page explains about the datsets collected from the sensors attached to a vehicle.
 
-[Download Link](https://drive.google.com/drive/folders/1VVUq48NOjYQ9zHNEg3_GTU_FpFkkquxZ?usp=drive_link)
+## Bus-ODD (Operational Design Domain) datasets
 
-The data contains the following information with annotation:
+### Leo Drive - ISUZU sensor data
 
-- 63316 images from 6 camearas (All faces and license plates are blurred)
-- 13758 frames of lidar points
+This dataset contains data from the Isuzu bus used in the Bus ODD project.
 
-The data format is based on nuScenes and nuImages format. Form the details, please check this [link](https://github.com/tier4/tier4_perception_dataset/blob/main/docs/t4_format_3d_detailed.md).
+The data contains data from following sensors:
+
+- 1 x VLP16
+- 2 x VLP32C
+- 1 x Applanix POS LV 120 GNSS/INS
+- 3 x Lucid Vision Triton 5.4MP cameras (left, right, front)
+- Vehicle status report
+
+It also contains `/tf` topic for static transformations between sensors.
+
+#### Required message types
+
+The GNSS data is available in `sensor_msgs/msg/NavSatFix` message type.
+
+But also the Applanix raw messages are also included in `applanix_msgs/msg/NavigationPerformanceGsof50` and `applanix_msgs/msg/NavigationSolutionGsof49` message types.
+In order to be able to play back these messages, you need to build and source the `applanix_msgs` package.
+
+```bash
+# Create a workspace and clone the repository
+mkdir -p ~/applanix_ws/src && cd "$_"
+git clone https://github.com/autowarefoundation/applanix.git
+cd ..
+
+# Build the workspace
+colcon build --symlink-install --packages-select applanix_msgs
+
+# Source the workspace
+source ~/applanix_ws/install/setup.bash
+
+# Now you can play back the messages
+```
+
+Also make sure to source Autoware Universe workspace too.
+
+#### Download instructions
+
+```console
+# Install awscli
+$ sudo apt update && sudo apt install awscli -y
+
+# This will download the entire dataset to the current directory.
+# (About 10.9GB of data)
+$ aws s3 sync s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/ ./2022-08-22_leo_drive_isuzu_bags  --no-sign-request
+
+# Optionally,
+# If you instead want to download a single bag file, you can get a list of the available files with following:
+$ aws s3 ls s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/ --no-sign-request
+   PRE all-sensors-bag1_compressed/
+   PRE all-sensors-bag2_compressed/
+   PRE all-sensors-bag3_compressed/
+   PRE all-sensors-bag4_compressed/
+   PRE all-sensors-bag5_compressed/
+   PRE all-sensors-bag6_compressed/
+   PRE driving_20_kmh_2022_06_10-16_01_55_compressed/
+   PRE driving_30_kmh_2022_06_10-15_47_42_compressed/
+
+# Then you can download a single bag file with the following:
+aws s3 sync s3://autoware-files/collected_data/2022-08-22_leo_drive_isuzu_bags/all-sensors-bag1_compressed/ ./all-sensors-bag1_compressed  --no-sign-request
+```
+
+### AutoCore.ai - lidar ROS 2 bag file and pcap
+
+This dataset contains pcap files and ros2 bag files from Ouster OS1-64 Lidar.
+The pcap file and ros2 bag file is recorded in the same time with slight difference in duration.
+
+[Click here to download (~553MB)](https://autoware-files.s3.us-west-2.amazonaws.com/collected_data/2022-04-14_autocore-lidar-bag-pcap/Lidar_Data_220414_bag_pcap.zip)
+
+[Reference Issue](https://github.com/autowarefoundation/autoware.universe/issues/562#issuecomment-1102662448)