ICRA 2021 Workshop CFP Reminder - Opportunities and Challenges with Autonomous Racing
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Madhur Behl
Apr 20, 2021, 1:52:04 PM4/20/21
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Opportunities and Challenges with Autonomous Racing - ICRA 2021 Full-Day Workshop
Workshop Date: May 31, 2021
Website: https://linklab-uva.github.io/icra-autonomous-racing/
Important Dates:
Submission site opens: March 5, 2021
Submission deadline: May 1, 2021 [Firm deadline, no extensions]
Notice of Acceptance: May 19, 2021
About the workshop:
In motorsport racing, there is a saying that “If everything seems under control, then you are not going fast enough”. Expert racing drivers have split second reaction times and routinely drive at the limits of control, traction, and agility of the racecar - under high-speed and close proximity situations. Autonomous racing presents unique opportunities and challenges in designing algorithms and hardware that can operate firmly on the limits of perception, planning, and control.
The goal of this workshop is to attract the interest of the robotics community on research challenges specific to high-speed autonomous racing. We aim at bringing together experts and researchers from various robotic fields explore the challenges associated with modeling vehicle dynamics at high-speeds, head-to-head multi-agent racing, AI-enabled racing solutions, sensor fusion, overtaking, state-estimation of opponents, racing simulation at scale, perception, localization, and planning. Autonomous racing competitions such as F1/10 Autonomous Racing, Roborace, and Indy Autonomous Challenge are encouraging researchers to think about these problems. We expect that this workshop will become the focal point for bringing together researchers from the growing autonomous racing and robotics communities to foster collaborative and creative solutions.
Topics of Interest:
* Modeling vehicle dynamics at high-speeds
* Head-to-head multi-agent racing
* AI-enabled racing solutions
* Overtaking strategies
* State-estimation of opponents
* Racing simulation at scale
* Limits of perception, localization, and planning at high-speeds.
* Adversarial vs Cooperative
* Balancing safe vs aggressive driving policies
* Hardware-software co-design for autonomous racing
* Hardware AI accelerators for perception
* Software stack and architectures for racing
Paper Submission:
We invite short papers (4-6 pages, including references) for submission to the workshop related to the topics above and the theme of autonomous racing. Position papers, work in progress and novel but not necessarily thoroughly worked out ideas are encouraged. The submissions will be reviewed by the workshop’s program committee and we will accept papers for oral (live) presentations, or a video highlight. A best paper award will be presented in both categories. We are currently exploring the possibility of a journal special issue for the best contributions at the workshop. Accepted paper will be made available on the website.
The paper should be in PDF format and use the standard IEEE ICRA template.
Please use Easy Chair for Submissions: https://easychair.org/conferences/?conf=ocaricra21
Organizers
Madhur Behl, University of Virginia
Johannes Betz, University of Pennsylvania
Venkat Krovi, Clemson University
Rahul Mangharam, University of Pennsylvania
best regards,
Madhur
Madhur Behl
Assistant Professor
Department of Computer Science
Department of Engineering Systems and Environment
Cyber-Physical Systems Link Lab
University of Virginia
madhurbehl.com
Workshop Date: May 31, 2021
Website: https://linklab-uva.github.io/icra-autonomous-racing/
Important Dates:
Submission site opens: March 5, 2021
Submission deadline: May 1, 2021 [Firm deadline, no extensions]
Notice of Acceptance: May 19, 2021
About the workshop:
In motorsport racing, there is a saying that “If everything seems under control, then you are not going fast enough”. Expert racing drivers have split second reaction times and routinely drive at the limits of control, traction, and agility of the racecar - under high-speed and close proximity situations. Autonomous racing presents unique opportunities and challenges in designing algorithms and hardware that can operate firmly on the limits of perception, planning, and control.
The goal of this workshop is to attract the interest of the robotics community on research challenges specific to high-speed autonomous racing. We aim at bringing together experts and researchers from various robotic fields explore the challenges associated with modeling vehicle dynamics at high-speeds, head-to-head multi-agent racing, AI-enabled racing solutions, sensor fusion, overtaking, state-estimation of opponents, racing simulation at scale, perception, localization, and planning. Autonomous racing competitions such as F1/10 Autonomous Racing, Roborace, and Indy Autonomous Challenge are encouraging researchers to think about these problems. We expect that this workshop will become the focal point for bringing together researchers from the growing autonomous racing and robotics communities to foster collaborative and creative solutions.
Topics of Interest:
* Modeling vehicle dynamics at high-speeds
* Head-to-head multi-agent racing
* AI-enabled racing solutions
* Overtaking strategies
* State-estimation of opponents
* Racing simulation at scale
* Limits of perception, localization, and planning at high-speeds.
* Adversarial vs Cooperative
* Balancing safe vs aggressive driving policies
* Hardware-software co-design for autonomous racing
* Hardware AI accelerators for perception
* Software stack and architectures for racing
Paper Submission:
We invite short papers (4-6 pages, including references) for submission to the workshop related to the topics above and the theme of autonomous racing. Position papers, work in progress and novel but not necessarily thoroughly worked out ideas are encouraged. The submissions will be reviewed by the workshop’s program committee and we will accept papers for oral (live) presentations, or a video highlight. A best paper award will be presented in both categories. We are currently exploring the possibility of a journal special issue for the best contributions at the workshop. Accepted paper will be made available on the website.
The paper should be in PDF format and use the standard IEEE ICRA template.
Please use Easy Chair for Submissions: https://easychair.org/conferences/?conf=ocaricra21
Organizers
Madhur Behl, University of Virginia
Johannes Betz, University of Pennsylvania
Venkat Krovi, Clemson University
Rahul Mangharam, University of Pennsylvania
best regards,
Madhur
Madhur Behl
Assistant Professor
Department of Computer Science
Department of Engineering Systems and Environment
Cyber-Physical Systems Link Lab
University of Virginia
madhurbehl.com
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