Real-Life Experiences in Using Open Source for Autonomy Applications

The open-source paradigm is well known for its unique potential to crowd-source innovation with spectacular examples of success, such as Linux. The knowledge base of methods to build more successful open-source communities has been growing with concepts such as independent governance, community building, and funding mechanisms. In mobility, an open-source autonomy stack called Autoware was the basis of a significant public transportation research project called ISEAUTO, and a companion project, PolyVerif, focused on building validation and verification technologies. This paper outlines the real-life experiences of two teams using the Autoware framework, providing lessons and recommendations for improving open-source development.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.3390/engproc2024079019
Citations
2
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.69
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article

Real-Life Experiences in Using Open Source for Autonomy Applications

Raivo Sell, Rahul Razdan, Ehsan Malayjerdi, Mustafa İlhan Akbaş et al.
2 citations
Reinforcement Learning in Robotics
0.69
article

Real-Life Experiences in Using Open Source for Autonomy Applications

Raivo Sell, Rahul Razdan, Ehsan Malayjerdi, Mustafa İlhan Akbaş, Mohsen Malayjerdi
article en
2 citations

Abstract

The open-source paradigm is well known for its unique potential to crowd-source innovation with spectacular examples of success, such as Linux. The knowledge base of methods to build more successful open-source communities has been growing with concepts such as independent governance, community building, and funding mechanisms. In mobility, an open-source autonomy stack called Autoware was the basis of a significant public transportation research project called ISEAUTO, and a companion project, PolyVerif, focused on building validation and verification technologies. This paper outlines the real-life experiences of two teams using the Autoware framework, providing lessons and recommendations for improving open-source development.

Tallinn University of Technology (EE), Volvo (Sweden) (SE), Florida Polytechnic University (US), Embry–Riddle Aeronautical University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Reinforcement Learning in Robotics
0.69
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