Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model
We present a super perception system of intelligent vehicles for perceiving occluded street objects by collecting images from neighbor front vehicles V2V (vehicle to vehicle) video streams based on 3D projection model. This super power can avoid some serious accidents of driver-assistant systems or...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/1547276 |
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| _version_ | 1832566931169738752 |
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| author | Wei Liu Longsheng Wei Yongbo Li |
| author_facet | Wei Liu Longsheng Wei Yongbo Li |
| author_sort | Wei Liu |
| collection | DOAJ |
| description | We present a super perception system of intelligent vehicles for perceiving occluded street objects by collecting images from neighbor front vehicles V2V (vehicle to vehicle) video streams based on 3D projection model. This super power can avoid some serious accidents of driver-assistant systems or automatic driving systems which can only detect visible objects. Our street perception system can “see through” the front vehicles to realize detecting of the occluded street objects only by analyzing the pair images received from front and host (back) vehicles. Upon the 3D projection model based on the pair images, the system uses affine transformation to achieve augmented reality method to increase the visibility perspective of driver system. Experimental results on different datasets are shown to validate our approach. Evaluation method was first introduced into our perception system. |
| format | Article |
| id | doaj-art-ef6daa8b54014b10a307e4c76ab34bf8 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-ef6daa8b54014b10a307e4c76ab34bf82025-02-03T01:02:55ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/15472761547276Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection ModelWei Liu0Longsheng Wei1Yongbo Li2School of Automation, China University of Geosciences, Wuhan, Hubei 430074, ChinaSchool of Automation, China University of Geosciences, Wuhan, Hubei 430074, ChinaSchool of Automation, China University of Geosciences, Wuhan, Hubei 430074, ChinaWe present a super perception system of intelligent vehicles for perceiving occluded street objects by collecting images from neighbor front vehicles V2V (vehicle to vehicle) video streams based on 3D projection model. This super power can avoid some serious accidents of driver-assistant systems or automatic driving systems which can only detect visible objects. Our street perception system can “see through” the front vehicles to realize detecting of the occluded street objects only by analyzing the pair images received from front and host (back) vehicles. Upon the 3D projection model based on the pair images, the system uses affine transformation to achieve augmented reality method to increase the visibility perspective of driver system. Experimental results on different datasets are shown to validate our approach. Evaluation method was first introduced into our perception system.http://dx.doi.org/10.1155/2018/1547276 |
| spellingShingle | Wei Liu Longsheng Wei Yongbo Li Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model Journal of Advanced Transportation |
| title | Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model |
| title_full | Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model |
| title_fullStr | Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model |
| title_full_unstemmed | Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model |
| title_short | Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model |
| title_sort | occluded street objects perception algorithm of intelligent vehicles based on 3d projection model |
| url | http://dx.doi.org/10.1155/2018/1547276 |
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