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Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications
- Source :
- ICRA
- Publication Year :
- 2020
-
Abstract
- Calibration of sensors is fundamental to robust performance for intelligent vehicles. In natural environments, disturbances can easily challenge calibration. One possibility is to use natural objects of known shape to recalibrate sensors. An approach based on recognition of traffic signs, such as stop signs, and use of them for recalibration of cameras is presented. The approach is based on detection, geometry estimation, calibration, and recursive updating. Results from natural environments are presented that clearly show convergence and improved performance.<br />7 pages, 7 figures, 1 table, Accepted to ICRA 2021
- Subjects :
- FOS: Computer and information sciences
business.industry
Calibration (statistics)
Computer science
Computer Vision and Pattern Recognition (cs.CV)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Astrophysics::Instrumentation and Methods for Astrophysics
Computer Science - Computer Vision and Pattern Recognition
Semantics
Geometry estimation
Improved performance
Computer Science - Robotics
Robustness (computer science)
Convergence (routing)
Computer vision
Artificial intelligence
business
Robotics (cs.RO)
Auto calibration
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ICRA
- Accession number :
- edsair.doi.dedup.....4785b2c6a056b7987cdb3ee818a66fdf