A cloud-assisted design for autonomous driving
This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous vehicles that use this system to avoid obstacles such as pedestrians and ot...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery
2014
|
| Online Access: | http://hdl.handle.net/1721.1/87077 https://orcid.org/0000-0003-4071-4932 https://orcid.org/0000-0003-4854-4157 |
| _version_ | 1826194666453729280 |
|---|---|
| author | Suresh Kumar, Swarun Gollakota, Shyamnath Katabi, Dina |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Suresh Kumar, Swarun Gollakota, Shyamnath Katabi, Dina |
| author_sort | Suresh Kumar, Swarun |
| collection | MIT |
| description | This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous vehicles that use this system to avoid obstacles such as pedestrians and other vehicles that may not be directly detected by sensors on the vehicle. Further, Carcel enables vehicles to plan efficient paths that account for unexpected events such as road-work or accidents.
We evaluate a preliminary prototype of Carcel on a state-of-the-art autonomous driving system in an outdoor testbed including an autonomous golf car and six iRobot Create robots. Results show that Carcel reduces the average time vehicles need to detect obstacles such as pedestrians by 4.6x compared to today's systems that do not have access to the cloud. |
| first_indexed | 2024-09-23T10:00:04Z |
| format | Article |
| id | mit-1721.1/87077 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:00:04Z |
| publishDate | 2014 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | mit-1721.1/870772022-09-30T18:11:08Z A cloud-assisted design for autonomous driving Suresh Kumar, Swarun Gollakota, Shyamnath Katabi, Dina Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Suresh Kumar, Swarun Gollakota, Shyamnath Katabi, Dina This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous vehicles that use this system to avoid obstacles such as pedestrians and other vehicles that may not be directly detected by sensors on the vehicle. Further, Carcel enables vehicles to plan efficient paths that account for unexpected events such as road-work or accidents. We evaluate a preliminary prototype of Carcel on a state-of-the-art autonomous driving system in an outdoor testbed including an autonomous golf car and six iRobot Create robots. Results show that Carcel reduces the average time vehicles need to detect obstacles such as pedestrians by 4.6x compared to today's systems that do not have access to the cloud. Smart.fm National Science Foundation (U.S.) 2014-05-21T20:52:03Z 2014-05-21T20:52:03Z 2012-08 Article http://purl.org/eprint/type/ConferencePaper 9781450315197 1450315194 http://hdl.handle.net/1721.1/87077 Kumar, Swarun, Shyamnath Gollakota, and Dina Katabi. “A Cloud-Assisted Design for Autonomous Driving.” Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing - MCC ’12 (2012). August 17, 2012, Helsinki, Finland. ACM (2012). https://orcid.org/0000-0003-4071-4932 https://orcid.org/0000-0003-4854-4157 en_US http://dx.doi.org/10.1145/2342509.2342519 Proceedings of the first edition of the MCC workshop on Mobile cloud computing - MCC '12 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery Other univ. web domain |
| spellingShingle | Suresh Kumar, Swarun Gollakota, Shyamnath Katabi, Dina A cloud-assisted design for autonomous driving |
| title | A cloud-assisted design for autonomous driving |
| title_full | A cloud-assisted design for autonomous driving |
| title_fullStr | A cloud-assisted design for autonomous driving |
| title_full_unstemmed | A cloud-assisted design for autonomous driving |
| title_short | A cloud-assisted design for autonomous driving |
| title_sort | cloud assisted design for autonomous driving |
| url | http://hdl.handle.net/1721.1/87077 https://orcid.org/0000-0003-4071-4932 https://orcid.org/0000-0003-4854-4157 |
| work_keys_str_mv | AT sureshkumarswarun acloudassisteddesignforautonomousdriving AT gollakotashyamnath acloudassisteddesignforautonomousdriving AT katabidina acloudassisteddesignforautonomousdriving AT sureshkumarswarun cloudassisteddesignforautonomousdriving AT gollakotashyamnath cloudassisteddesignforautonomousdriving AT katabidina cloudassisteddesignforautonomousdriving |