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P‐8.5: A Visual Display System for Automobile A‐pillars Blind Area Visualization
Author(s) -
XUE Yachong,
CHU Minglei,
XUE Yachong,
ZHANG Hao,
CHEN Lili,
SUN Jiankang,
ZHANG Menglei
Publication year - 2021
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.15323
Subject(s) - computer vision , gaze , computer science , visualization , artificial intelligence , position (finance) , pillar , process (computing) , eye tracking , face (sociological concept) , image (mathematics) , computer graphics (images) , engineering , social science , structural engineering , finance , sociology , economics , operating system
For safety reasons, the current car's A‐pillars are generally designed to be relatively wide, causing a large visual blind area and resulting in a great safety hazard in driving process[1]. This paper presents a visual display system for the A‐pillar to eliminate the blind area, which combines face detection, pupil detection, gaze calculation and image extraction module, and achieves displaying effect of scene moving with people and seamless splicing. Only the head position is calculated in traditional methods because the head position cannot represent the gaze direction, causing a large spliced error. In this paper, when calculating the spliced image, gaze calculation algorithm is added to the visual system, which greatly improves the calculation accuracy of the spliced image, reaching 1.6°, and improves final splicing performance.