Fast shadow detection for urban autonomous driving applications
This paper presents shadow detection methods for vision-based autonomous driving in an urban environment. Shadows misclassified as objects create problems in autonomous driving applications. Real-time efficient algorithms in dynamic background settings are proposed. Without the static background ass...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2011
|
| Online Access: | http://hdl.handle.net/1721.1/67843 |
| _version_ | 1826207553920434176 |
|---|---|
| author | Park, Sooho Lim, Sejoon |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Park, Sooho Lim, Sejoon |
| author_sort | Park, Sooho |
| collection | MIT |
| description | This paper presents shadow detection methods for vision-based autonomous driving in an urban environment. Shadows misclassified as objects create problems in autonomous driving applications. Real-time efficient algorithms in dynamic background settings are proposed. Without the static background assumption, which was often used in previous work to develop fast algorithms, our scheme estimates the varying background efficiently. A combination of various features classifies each pixel into one of the following categories: road, shadow, dark object, or other objects. In addition to pixel level classification, spatial context is also used to identify the shadows. Our results show that our methods perform well for autonomous driving applications and are fast enough to work in real time. |
| first_indexed | 2024-09-23T13:51:40Z |
| format | Article |
| id | mit-1721.1/67843 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:51:40Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/678432022-10-01T17:33:06Z Fast shadow detection for urban autonomous driving applications Park, Sooho Lim, Sejoon Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Lim, Sejoon Park, Sooho Lim, Sejoon This paper presents shadow detection methods for vision-based autonomous driving in an urban environment. Shadows misclassified as objects create problems in autonomous driving applications. Real-time efficient algorithms in dynamic background settings are proposed. Without the static background assumption, which was often used in previous work to develop fast algorithms, our scheme estimates the varying background efficiently. A combination of various features classifies each pixel into one of the following categories: road, shadow, dark object, or other objects. In addition to pixel level classification, spatial context is also used to identify the shadows. Our results show that our methods perform well for autonomous driving applications and are fast enough to work in real time. 2011-12-21T18:23:48Z 2011-12-21T18:23:48Z 2009-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-3803-7 http://hdl.handle.net/1721.1/67843 Park, Sooho, and Sejoon Lim. “Fast shadow detection for urban autonomous driving applications.” IEEE, 2009. 1717-1722. Web. 21 Dec. 2011. © 2009 Institute of Electrical and Electronics Engineers en_US http://dx.doi.org/10.1109/IROS.2009.5354613 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Park, Sooho Lim, Sejoon Fast shadow detection for urban autonomous driving applications |
| title | Fast shadow detection for urban autonomous driving applications |
| title_full | Fast shadow detection for urban autonomous driving applications |
| title_fullStr | Fast shadow detection for urban autonomous driving applications |
| title_full_unstemmed | Fast shadow detection for urban autonomous driving applications |
| title_short | Fast shadow detection for urban autonomous driving applications |
| title_sort | fast shadow detection for urban autonomous driving applications |
| url | http://hdl.handle.net/1721.1/67843 |
| work_keys_str_mv | AT parksooho fastshadowdetectionforurbanautonomousdrivingapplications AT limsejoon fastshadowdetectionforurbanautonomousdrivingapplications |