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Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model
Joint Authors
Liu, Wei
Wei, Longsheng
Li, Yongbo
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, Wei& Wei, Longsheng& Li, Yongbo. 2018. Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1180945
Modern Language Association (MLA)
Liu, Wei…[et al.]. Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model. Journal of Advanced Transportation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1180945
American Medical Association (AMA)
Liu, Wei& Wei, Longsheng& Li, Yongbo. Occluded Street Objects Perception Algorithm of Intelligent Vehicles Based on 3D Projection Model. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1180945
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180945