Upcoming events (meetings, conferences, etc.)
We’re just about at the end of the road for the 2018 AI Driving Olympics.
There’s certainly been some action on the leaderboard these last few days and it’s going down to the wire. Don’t miss your chance to see you name up there and win the amazing prizes donated by nuTonomy and Amazon AWS!
Submissions will close at 11:59pm PST on Thursday Dec. 6.
Please join us at NeurIPS for the live competition 3:30-5:00pm EST in room 511!
The AI Driving Olympics, presented by the Duckietown Foundation with help from our partners and sponsors is now in full swing. Check out the leaderboard!
We now have templates for ROS, PyTorch, and TensorFlow, as well as an agnostic template.
We also have baseline implementation using the classical pipeline, imitation learning with data from both simulation and real Duckietown logs, and reinforcement learning.
We are excited to announce that we will be hosting a series of interactive tutorials for competitors to get started. These tutorials will be streamed live from our Facebook page.
See here for the full tutorial schedule.
Submissions to the AI Driving Olympics are officially open for the Lane Following task evaluated in simulation.
To make a submission, follow the instructions in the AIDO-book.
For example, a good place to start is the Quick Start Guide.
For discussion please check out the AIDO forums.
The second edition of the Duckietown Summer School will take place August 6-8 in Taiwan.
The competition will use the Duckietown platform, a scaled-down affordable and accessible vision-based self-driving car platform used for autonomy education and research. This open-source project originated at MIT in 2016 and is now used by many institutions worldwide.
The AI Driving Olympics is presented in collaboration with 6 academic institutions: ETH Zurich (Switzerland), Université de Montréal (Canada), NCTU (Taiwan), TTIC (USA), Tsinghua (China) and Georgia Tech (USA), as well as two industry co-organizers: nuTonomy and Amazon Web Services (AWS).
The competition will comprise 5 challenges of increasing complexity: 1) Road following on an empty road; 2) Road following with obstacles; 3) Point-to-point navigation in a city network; 4) Point to point navigation in a city network with other vehicles; and 5) Fleet planning for a full autonomous mobility on demand system.
Competitors will have access to simulators, logs, reference implementations, and finally real environments (“Robotariums”) that will be remotely accessible for evaluation. The entries that score best in the robotariums will be run during the live event at NIPS 2018 to determine the winners.
The competition aims at directing academic research towards the hard problems of embodied AI, such as modularity of learning processes, and learning in simulation while deploying in reality. The competition also promotes the democratization of AI/robotics research by offering a common infrastructure available to everybody through the use of remote testing facilities.
Competitors can also build their own Duckiebots using provided DIY instructions, or buy Duckiebots and Duckietown hardware through a kickstarter campaign.
For rules and timeline, please see the site https://driving-olympics.ai/
High school students from around Naples enjoyed Duckietown at STMicroelectronics Research Centre this past May 9th.
The 2nd edition of the Duckietown demo was a an internationally coordinated event. Massive Duckietown expositions were built in ETH Zürich and Université de Montréal, and TTI Chicago also joined remotely. The event was broadcast over skype between the locations and thousands of visitors were present between the locations.