TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles |
| 영문제목(English Title) |
Intelligent Hybrid Fusion Algorithm with Vision Patterns for Generation of Precise Digital Road Maps in Self-driving Vehicles |
| 저자(Author) |
Juho Jung
Manbok Park
Kuk Cho
Cheol Mun
Junho Ahn
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| 원문수록처(Citation) |
VOL 14 NO. 10 PP. 3955 ~ 3971 (2020. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Due to the significant increase in the use of autonomous car technology, it is essential to integrate this technology with high-precision digital map data containing more precise and accurate roadway information, as compared to existing conventional map resources, to ensure the safety of self-driving operations. While existing map technologies may assist vehicles in identifying their locations via Global Positioning System, it is however difficult to update the environmental changes of roadways in these maps. Roadway vision algorithms can be useful for building autonomous vehicles that can avoid accidents and detect real-time location changes. We incorporate a hybrid architectural design that combines unsupervised classification of vision data with supervised joint fusion classification to achieve a better noise-resistant algorithm. We identify, via a deep learning approach, an intelligent hybrid fusion algorithm for fusing multimodal vision feature data for roadway classifications and characterize its improvement in accuracy over unsupervised identifications using image processing and supervised vision classifiers. We analyzed over 93,000 vision frame data collected from a test vehicle in real roadways. The performance indicators of the proposed hybrid fusion algorithm are successfully evaluated for the generation of roadway digital maps for autonomous vehicles, with a recall of 0.94, precision of 0.96, and accuracy of 0.92.
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| 키워드(Keyword) |
Intelligence
Vision
Deep learning
High precision digital map
Self-driving vehicles
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| 파일첨부 |
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