Santiago Pravisani
commited on
Commit
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ca1fe18
1
Parent(s):
1ab9acb
Updated Helper code + Technical details
Browse files- .gitignore +2 -0
- README.md +48 -48
- helpercode.ipynb +0 -0
.gitignore
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frodobots-dataset-getting-started/*
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README.md
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language:
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- en
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annotations_creators:
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- experts-generated
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tags:
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- self-driving
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- robotics navigation
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@@ -49,114 +49,114 @@ The **FrodoBots 1K Dataset** is a diverse collection of camera footage, GPS, IMU
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> "We deeply appreciate the collaboration of the BlurIt team, who have been instrumental in helping us blur faces and license plates in our videos. Their dedication to pushing the boundaries of AI innovation and research is truly commendable and inspiring. If you're looking to protect privacy by redacting faces or license plates in your images or videos, their website is a valuable resource. Don't hesitate to explore their services to ensure your content remains both informative and anonymous. https://blurit.io/en
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| *FrodoBots being tested in Stanford University campus* |
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## Dataset Summary
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There are 7 types of data that are associated with a typical FrodoBots drive, as follows:
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1. **Control data**: This includes information about the robot's control inputs captured at a frequency of 10Hz.
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2. **GPS data**: This includes latitude, longitude, and timestamp information for each data point collected during the robot drives at a frequency of 1Hz.
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3. **IMU (Inertial Measurement Unit) data**: This provides 9-degree of freedom sensor data, including acceleration (captured at 100Hz), gyroscope (captured at 1Hz), and compass ride information (captured at 1Hz), along with timestamp data.
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4. **Rear camera video**: This offers video footage captured by the robot's rear-facing camera at 20 frames per second (FPS) with a resolution of
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5. **Front camera video**: This consists of video footage captured by the robot's front-facing camera at 20 FPS with a resolution of
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6. **Microphone**: This includes audio recordings captured by the robot's microphone, with a sample rate of
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7. **Speaker**: This incorporates audio recordings of the robot's speaker output (ie. gamer's microphone), also with a sample rate of
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In total, there were more than 4,000 individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
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| *Histogram of Session Duration (minutes)* |
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These drives were done with FrodoBots in over 10 cities, registering close to 1,000 hours of footages, with Liuzhou being the city with longest cumulative hours of drives.
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| *Cumulative sessions hours by city* |
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Out of these 1,000 hours of recorded drive, roughly 312 hours have registered speed above 0 Km/Hr. Most of these other duration were either stationary or short pauses during a regular game drives.
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| *Distribution of robot speed (excluding zero speed)* |
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## About FrodoBots
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[**FrodoBots**](https://www.frodobots.com/) is an open-world video driving game where gamers remotely control sidewalk robots to complete missions in different cities (here's a video about the [robot](https://youtu.be/WZy1u7ds1wQ)).
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The game objective is to complete the pre-defined navigation missions in single-player mode (see [video](https://www.youtube.com/@frodobots)) or gather digital items in the multiplayer arena mode (see [video](https://youtu.be/2E3lve-Xvak)).
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| *Testing in Madrid* |
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| *Testing in London* |
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| *Testing in Stockholm* |
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| *Testing in Wuhan* |
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| *Testing in Liuzhou* |
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| *Testing in Berlin* |
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| *Game Controller + Browser = Control FrodoBots Anywhere* |
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| *Chatting with locals via built-in microphone/speaker* |
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| *Zero turning radius = Easy maneuvering* |
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| *Night driving test in Palo Alto* |
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| *Driving through rain* |
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| *Road crossing in Palo Alto* |
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## Motivations for open-sourcing the dataset
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The team behind FrodoBots is focused on building an open-world video gaming experience using real-life robots (we call it "robotic gaming"). A by-product of gamers playing the game in real-life is the accompanying dataset that's generated.
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By sharing this dataset with the research community, we hope to see new innovations that can be tested (via our SDK) directly on our fleet of FrodoBots, and then ultimately deployed back into our production environment in order to create a more fun and safer game.
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## **Getting Started**
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Download a FrodoBots dataset sample using [this link](https://frodobots-2k.s3.ap-southeast-1.amazonaws.com/frodobots-2k_getting-started.zip).
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## **Download**
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Download FrodoBots dataset using the link in this [csv file](https://frodobots-1k.s3.ap-southeast-1.amazonaws.com/frodobots-1k_dataset.csv).
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## **Helper code**
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## **About our partners**
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language:
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- en
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annotations_creators:
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- experts-generated
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tags:
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- self-driving
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- robotics navigation
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> "We deeply appreciate the collaboration of the BlurIt team, who have been instrumental in helping us blur faces and license plates in our videos. Their dedication to pushing the boundaries of AI innovation and research is truly commendable and inspiring. If you're looking to protect privacy by redacting faces or license plates in your images or videos, their website is a valuable resource. Don't hesitate to explore their services to ensure your content remains both informative and anonymous. https://blurit.io/en
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|:--:|
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| *FrodoBots being tested in Stanford University campus* |
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## Dataset Summary
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There are 7 types of data that are associated with a typical FrodoBots drive, as follows:
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1. **Control data**: This includes information about the robot's control inputs captured at a frequency of 10Hz (Ideal). When there is no data, it can be assumed the bot has stopped or is not in motion.
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2. **GPS data**: This includes latitude, longitude, and timestamp information for each data point collected during the robot drives at a frequency of 1Hz.
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3. **IMU (Inertial Measurement Unit) data**: This provides 9-degree of freedom sensor data, including acceleration (captured at 100Hz), gyroscope (captured at 1Hz), and compass ride information (captured at 1Hz), along with timestamp data.
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4. **Rear camera video**: This offers video footage captured by the robot's rear-facing camera at an average of 20 frames per second (FPS) with a resolution of 540x360.
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5. **Front camera video**: This consists of video footage captured by the robot's front-facing camera at an average 20 FPS with a resolution of 1024x576.
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6. **Microphone**: This includes audio recordings captured by the robot's microphone, with a sample rate of 16000Hz, channel 1.
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7. **Speaker**: This incorporates audio recordings of the robot's speaker output (ie. gamer's microphone), also with a sample rate of 16000Hz, channel 1.
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In total, there were more than 4,000 individual driving sessions recorded, with majority of these drives under 10 minutes long, although there were also drives lasting more than an hour.
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+
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|:--:|
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| *Histogram of Session Duration (minutes)* |
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These drives were done with FrodoBots in over 10 cities, registering close to 1,000 hours of footages, with Liuzhou being the city with longest cumulative hours of drives.
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|:--:|
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| *Cumulative sessions hours by city* |
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Out of these 1,000 hours of recorded drive, roughly 312 hours have registered speed above 0 Km/Hr. Most of these other duration were either stationary or short pauses during a regular game drives.
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|:--:|
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| *Distribution of robot speed (excluding zero speed)* |
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## About FrodoBots
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[**FrodoBots**](https://www.frodobots.com/) is an open-world video driving game where gamers remotely control sidewalk robots to complete missions in different cities (here's a video about the [robot](https://youtu.be/WZy1u7ds1wQ)).
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+
The game objective is to complete the pre-defined navigation missions in single-player mode (see [video](https://www.youtube.com/@frodobots)) or gather digital items in the multiplayer arena mode (see [video](https://youtu.be/2E3lve-Xvak)).
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|:--:|
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| *Testing in Madrid* |
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|:--:|
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| *Testing in London* |
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| *Testing in Stockholm* |
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| *Testing in Wuhan* |
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| *Testing in Liuzhou* |
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| *Testing in Berlin* |
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|:--:|
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| *Game Controller + Browser = Control FrodoBots Anywhere* |
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|  |
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|:--:|
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| *Chatting with locals via built-in microphone/speaker* |
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|  |
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|:--:|
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| *Zero turning radius = Easy maneuvering* |
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+
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|:--:|
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| *Night driving test in Palo Alto* |
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| *Driving through rain* |
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|:--:|
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| *Road crossing in Palo Alto* |
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## Motivations for open-sourcing the dataset
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| 148 |
+
The team behind FrodoBots is focused on building an open-world video gaming experience using real-life robots (we call it "robotic gaming"). A by-product of gamers playing the game in real-life is the accompanying dataset that's generated.
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| 149 |
|
| 150 |
+
By sharing this dataset with the research community, we hope to see new innovations that can be tested (via our SDK) directly on our fleet of FrodoBots, and then ultimately deployed back into our production environment in order to create a more fun and safer game.
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## **Download**
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+
Download FrodoBots dataset using the link in this [csv file](https://frodobots-1k.s3.ap-southeast-1.amazonaws.com/frodobots-1k_dataset.csv).
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## **Helper code**
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+
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Download a FrodoBots dataset sample using [this link](https://frodobots-2k.s3.ap-southeast-1.amazonaws.com/frodobots-dataset-getting-started.zip).
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We've provided a helpercode.ipynb file that will hopefully serve as a quick-start for researchers to play around with the dataset.
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## **About our partners**
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helpercode.ipynb
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