Autonomous Driving (AD) is the next frontier of artificial intelligence and machine learning. Intending to further research in AD, we invite you to participate in a competition organised by Huawei Technologies Ltd. in autonomous decision making.
There are two separate tracks in the competition. Track 1 is focused on single-agent multi-lane cruising, Track 2 is focused on multi-agent safe driving. Your goal is to design an autonomous algorithm that is capable of driving safely and efficiently across a variety of simulated maps containing numerous tasks, such as merging, intersections, high-ways, and many others. We offer such scenarios through a simulator that emulates real-world traffic at a variety of granularity levels.
Winners will be announced in a ceremony, where cash prize will be provided with the winner certificate. You will also get the chance to teach us all about your innovations in a spot-light talk during the event.
Let’s get these cars moving!
The DAI 2020 SMARTS Competition of Autonomous Driving is a programming competition organised by Huawei Noah's Ark Lab. You pick your team to work together, and we pick a competition in the field of Artificial Intelligence for you to solve.
Are you up for the challenge?
Cash prizes and winner certificates for our winners!
The Terms & Conditions for the DAI Competition gather all rules that apply to the organisers and participants of the competition. You can find a summary of the most important ones below:
To be eligible to enter the competition, all Participants must
The competition registration opens on 14th August 2020. The Competition itself commences on 14th August 2020 and ends at midnight on 14th October 2020 (the 'Dead-line'). Any competition submission after the Deadline will be automatically disqualified.
The following describes how entries to the competition can be made:
The organizers will provide a simulation engine binary for participants to train on. Participants are to use their own method(s) to ensure that their car can successfully accomplish the task.
Participants can use any deep learning framework they wish (e.g. Tensorflow, Pytorch). However, any cheating by using commercial tools, and these results are not permitted and any such entries will be disqualified. Top performing teams on the leader-board will be required to provide their code to the Organiser, who will run the code to verify that it reproduces the same results as submitted by the Participants to the competition and to otherwise verify that the submission is valid.
Participants are permitted to submit a maximum of 2 entries a day only to the competition. To be clear if a team enters, this maximum of entries is 2 times of the number the members.
We will award cash prizes to the three teams with top performance. The top five teams will also get certificates of qualification to the competition during the Award Ceremony.
The Noah’s Ark Lab is the AI research center for Huawei Technologies, located in Hong Kong, Shenzhen, Beijing, Shanghai, Xi’an, London, Paris, Toronto, Montreal, Edmonton, etc.
The mission of the lab is to make significant contributions to both the company and society by innovating in artificial intelligence, data mining and related fields. Mainly driven by long term and big impact projects, research in the lab also tries to advance the state of the art in the fields as well as to harness the products and services of the company, at each stage of the innovation process.
As a world class research lab, we are pushing the frontier of research and development in all areas that we work in.We dare to address both the challenges and opportunities in this era of AI and big data, to revolutionize the ways in which people work and live, and the ways in which companies do business, through intelligentization of all processes, with the slogan 'from big data to deep knowledge'.
Research areas of the lab mainly include computer vision, natural language processing, search & recommendation, decision and reasoning ,AI theory. Founded in 2012, the lab has now grown to be a research organization with many significant achievements in both academia and industry. We welcome talented researchers and engineers to join us to realize their dreams.