Neuromorphic Computing for Autonomous Racing

Robert Patton; Catherine Schuman; Shruti Kulkarni; Maryam Parsa; J. Parker Mitchell; N. Quentin Haas; Christopher Stahl; Spencer Paulissen; Prasanna Date; Thomas Potok; Shay Sneider

doi:10.1145/3477145.3477170

Neuromorphic Computing for Autonomous Racing

Robert Patton, Catherine Schuman, Shruti Kulkarni, Maryam Parsa, J. Parker Mitchell, N. Quentin Haas, Christopher Stahl, Spencer Paulissen, Prasanna Date, Thomas Potok, Shay Sneider

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

Neuromorphic computing has many opportunities in future autonomous systems, especially those that will operate at the edge. However, there are relatively few demonstrations of neuromorphic implementations on real-world applications, partly because of the lack of availability of neuromorphic hardware and software, but also because of the lack of availability of an accessible demonstration platform. In this work, we propose utilizing the F1Tenth platform as an evaluation task for neuromorphic computing. F1Tenth is a competition wherein one tenth scale cars compete in an autonomous racing task; there are significant open source resources in both software and hardware for realizing this task. We present a workflow with neuromorphic hardware, software, and training that can be used to develop a spiking neural network for neuromorphic hardware deployment to perform autonomous racing. We present initial results on utilizing this approach for this small-scale, real-world autonomous vehicle task.

Original language	English
Title of host publication	ICONS 2021 - Proceedings of International Conference on Neuromorphic Systems 2021
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450386913
DOIs	https://doi.org/10.1145/3477145.3477170
State	Published - Jul 27 2021
Event	2021 International Conference on Neuromorphic Systems, ICONS 2021 - Virtual, Onlie, United States Duration: Jul 27 2021 → Jul 29 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2021 International Conference on Neuromorphic Systems, ICONS 2021
Country/Territory	United States
City	Virtual, Onlie
Period	07/27/21 → 07/29/21

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DE-AC05-00OR22725.

Keywords

autonomous driving
evolutionary algorithms
neuromorphic computing

Access to Document

10.1145/3477145.3477170

Cite this

Patton, R., Schuman, C., Kulkarni, S., Parsa, M., Mitchell, J. P., Haas, N. Q., Stahl, C., Paulissen, S., Date, P., Potok, T., & Sneider, S. (2021). Neuromorphic Computing for Autonomous Racing. In ICONS 2021 - Proceedings of International Conference on Neuromorphic Systems 2021 Article 3477170 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3477145.3477170

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abstract = "Neuromorphic computing has many opportunities in future autonomous systems, especially those that will operate at the edge. However, there are relatively few demonstrations of neuromorphic implementations on real-world applications, partly because of the lack of availability of neuromorphic hardware and software, but also because of the lack of availability of an accessible demonstration platform. In this work, we propose utilizing the F1Tenth platform as an evaluation task for neuromorphic computing. F1Tenth is a competition wherein one tenth scale cars compete in an autonomous racing task; there are significant open source resources in both software and hardware for realizing this task. We present a workflow with neuromorphic hardware, software, and training that can be used to develop a spiking neural network for neuromorphic hardware deployment to perform autonomous racing. We present initial results on utilizing this approach for this small-scale, real-world autonomous vehicle task.",

keywords = "autonomous driving, evolutionary algorithms, neuromorphic computing",

author = "Robert Patton and Catherine Schuman and Shruti Kulkarni and Maryam Parsa and Mitchell, {J. Parker} and Haas, {N. Quentin} and Christopher Stahl and Spencer Paulissen and Prasanna Date and Thomas Potok and Shay Sneider",

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year = "2021",

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doi = "10.1145/3477145.3477170",

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Patton, R, Schuman, C, Kulkarni, S, Parsa, M, Mitchell, JP, Haas, NQ , Stahl, C, Paulissen, S, Date, P , Potok, T & Sneider, S 2021, Neuromorphic Computing for Autonomous Racing. in ICONS 2021 - Proceedings of International Conference on Neuromorphic Systems 2021., 3477170, ACM International Conference Proceeding Series, Association for Computing Machinery, 2021 International Conference on Neuromorphic Systems, ICONS 2021, Virtual, Onlie, United States, 07/27/21. https://doi.org/10.1145/3477145.3477170

Neuromorphic Computing for Autonomous Racing. / Patton, Robert; Schuman, Catherine; Kulkarni, Shruti et al.
ICONS 2021 - Proceedings of International Conference on Neuromorphic Systems 2021. Association for Computing Machinery, 2021. 3477170 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Stahl, Christopher

AU - Paulissen, Spencer

AU - Date, Prasanna

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Neuromorphic Computing for Autonomous Racing

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