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Machine Learning for Autonomous Driving
Rowan McAllister · Xinshuo Weng · Xinshuo Weng · Daniel Omeiza · Nick Rhinehart · Fisher Yu · German Ros · Vladlen Koltun

@ None
Event URL: https://ml4ad.github.io/ »

Welcome to the NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving!

Autonomous vehicles (AVs) offer a rich source of high-impact research problems for the machine learning (ML) community; including perception, state estimation, probabilistic modeling, time series forecasting, gesture recognition, robustness guarantees, real-time constraints, user-machine communication, multi-agent planning, and intelligent infrastructure. Further, the interaction between ML subfields towards a common goal of autonomous driving can catalyze interesting inter-field discussions that spark new avenues of research, which this workshop aims to promote. As an application of ML, autonomous driving has the potential to greatly improve society by reducing road accidents, giving independence to those unable to drive, and even inspiring younger generations with tangible examples of ML-based technology clearly visible on local streets.

All are welcome to submit and/or attend! This will be the 5th NeurIPS workshop in this series. Previous workshops in 2016, 2017, 2018 and 2019 enjoyed wide participation from both academia and industry.

Fri 8:55 a.m. - 9:00 a.m. [iCal]
Fri 9:00 a.m. - 9:30 a.m. [iCal]
Invited Talk: Angela Schoellig (Talk)
Angela Schoellig, Rowan McAllister
Fri 9:30 a.m. - 10:00 a.m. [iCal]
Invited Talk: Patrick Perez (Talk)
Patrick PĂ©rez, Rowan McAllister
Fri 10:00 a.m. - 10:30 a.m. [iCal]
Invited Talk: Ehud Sharlin (Talk)
Ehud Sharlin, Rowan McAllister
Fri 10:30 a.m. - 11:00 a.m. [iCal]
Invited Talk: Sertac Karaman (Talk)
Sertac Karaman, Rowan McAllister
Fri 11:00 a.m. - 11:30 a.m. [iCal]
Invited Talk: Jianxiong Xiao (Talk)
Jianxiong Xiao, Rowan McAllister
Fri 11:30 a.m. - 12:00 p.m. [iCal]
Panel 1 (Panel)
Fri 12:00 p.m. - 1:00 p.m. [iCal]
Fri 1:00 p.m. - 1:30 p.m. [iCal]
Invited Talk: Pin Wang (Talk)
Pin Wang, Rowan McAllister
Fri 1:30 p.m. - 2:00 p.m. [iCal]
Invited Talk: Brandyn White (Talk)
Brandyn White, Rowan McAllister
Fri 2:00 p.m. - 2:30 p.m. [iCal]
Invited Talk: Beipeng Mu (Talk)
Beipeng Mu, Rowan McAllister
Fri 2:30 p.m. - 3:00 p.m. [iCal]
Invited Talk: Byron Boots (Talk)
Byron Boots, Rowan McAllister
Fri 3:00 p.m. - 3:40 p.m. [iCal]
Panel 2 (Panel)
Fri 3:40 p.m. - 4:00 p.m. [iCal]
Fri 4:00 p.m. - 5:00 p.m. [iCal]

The CARLA Autonomous Driving Challenge 2020 is organized as part of the Machine Learning for Autonomous Driving Workshop at NeurIPS 2020. This competition is open to any participant from academia and industry.

The challenge follows the same structure and rules defined for the CARLA AD Leaderboard. You can participate in any of the two available tracks: SENSORS and MAP, using the canonical sensors available for the challenge.

The top-1 submissions of each track will be invited to present their results at the Machine Learning for Autonomous Driving Workshop. Additionally, all participants are invited to submit a technical report (up to 4 pages) describing their submissions. Based on the novelty and originality of these technical reports, the organization will select up to two teams to present their work at the workshop.

German Ros, Rowan McAllister
Invited Talk: 1 (Talk)
Rowan McAllister
Invited Talk: 2 (Talk)
Rowan McAllister

Author Information

Rowan McAllister (UC Berkeley)
Xinshuo Weng (Carnegie Mellon University)
Xinshuo Weng (Carnegie Mellon University)
Daniel Omeiza (University of Oxford)
Nick Rhinehart
Fisher Yu (ETH Zurich)
German Ros (Intel Labs)
Vladlen Koltun (Intel Labs)

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