DAI'20 Workshop: Autonomous Driving Competition

Introduction

Autonomous Driving (AD) is the next frontier of artificial intelligence and machine learning. Intending to further research in AD, DAI 2020 offers an international competition on autonomous decision making. There are two separate tracks in the competition. Track 1 focuses on single-agent multi-lane cruising, Track 2 focuses 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. The competition offers such scenarios through a simulator called SMARTS that emulates real-world traffic at a variety of granularity levels. This workshop consists of a tutorial talk for SMARTS & reinforcement learning for AD and the technical talks for the competition winners. Winners will be announced in this ceremony workshop. This competition is organized by the Decision Making and Reasoning Laboratory of Huawei Noah's Ark Lab and the APEX Lab of Shanghai Jiao Tong University.

Schedule

Date: Saturday, October 24, 2020

Time (GMT+8) Event Speakers Affiliation
14:00-14:10 Openning Kun Shao Huawei Noah's Ark Lab
14:10-14:30 SMARTS platform introduction Julian Villela,
Ming Zhou
Huawei Noah's Ark Lab,
Shanghai Jiao Tong University
14:30-14:50 Overview of DAI2020 autonomous driving competition Ming Zhou, Jiayu Miao Shanghai Jiao Tong University
14:50-15:50 Five winner talks of Track 1 Top 5 Winners \
15:50-16:50 Five winner talks of Track 2 Top 5 Winners \
16:50-17:00 Announcement of winners of two tracks Jianye Hao,
Weinan Zhang
Huawei Noah's Ark Lab
Shanghai Jiao Tong University

Live Broadcasting

We'll broadcast live on bilibili.com. Here is the address: https://live.bilibili.com/22386217, or scan the QR code below:

Final Rank

The final rank of DAI'20 SMARTS Competition track1 and track2 are presented as follows:

Track 1

Rank Team/Player ID
1 CASIA DRL Team
2 alombard
3 wait a minute
4 SDU-DRL-Team
5 neusmartcar

Track 2

Rank Team/Player ID
1 leafzs
2 Not_The_Last_One
3 Audio-technica
4 alombard
5 RL_Team

Committees

Organizing Comittee

Academic Committee

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