複數影像動態融合技術於消除視覺盲區之應用

張鉦詮

doi:10.6341/fcu.M0215729

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複數影像動態融合技術於消除視覺盲區之應用

Multi-Image Dynamic Fusion Technology for Applications of Visual Blind Spots Elimination

張鉦詮 , Masters　　Advisor：林昱成　　

英文 DOI： 10.6341/fcu.M0215729

複數影像動態融合；幾何重建；視覺盲區；車輛安全輔助；透視；立體視覺；地下停車場；智慧監視系統； multi- image dynamic fusion ； geometry reconstruction ； visual blind spots ； vehicle safety assistance ； translucentization ； stereo ； underground parking lot ； intelligent surveillance systems

Abstract │ Reference (122) │ Altmetrics

Abstract 〈TOP〉

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This thesis presents the multi-image  
dynamic fusion algorithms and geometry reconstruction technology for eliminating the visual blind  
spots in forward driver safety assistance and underground parking lot safety applications. For  
forward vehicle safety assistance application, this type of accident usually occurs when the  
preceding vehicle decreases speed suddenly and even emergency stop, leaving insufficient time and  
space for the following vehicle to brake. The main reason why the following vehicle cannot  
respond quickly is that the blind spot resulting from the preceding vehicle fully or partially  
blocks the following vehicle’s field of view when the in-between distance is close. This thesis  
is based on a revolutionary collaborative preceding vehicle visual blind spots elimination and  
translucentization systems, which is utilizing two cameras respectively in the preceding and  
following vehicles and two video streams exchange, i.e. inter-vehicle communication, by wireless  
access in the vehicular environment / dedicated short range communication (WAVE/DSRC) devices. In  
addition, we utilize the feature matching and epipolar geometry method of front-and-back stereo  
configuration to find the relative pose between two cameras and then achieve sensor data fusion  
such that the visual obstructed region from the preceding vehicle becomes transparent notices.  
Not only does the proposed approach extends the driver’s visibility, but the resulting also  
improves the driving safety.
For parking safety application, crimes and destruction in underground parking lot are common  
because underground ones have relatively much less surveillance than open ones. Therefore, the  
security for underground parking lot is always a serious issue that deserves special concern.  
Although the security cameras nowadays can help deter thieves from breaking into cars, and aid  
law enforcement in identifying criminals who did rob your car or hurt you. Nevertheless,  
occluding pillars often lead to the blind spots problem in surveillance systems. Here, we  
presents a specifically method to create an illusion of occluded pillars see-through  
visualization for supervisors at blind spots to increase safety in underground parking lot type  
environments. This illusion is achieved by transferring video information from a camera viewing  
the occluded area. The goal is to simply eliminate the blind spots resulting from the front  
occluding pillars in the host image and provide a plausible and appealing visualization aid to  
the monitoring staff at surveillance systems.
This thesis is based on the multi-image dynamic fusion algorithms and geometry reconstruction  
technology to accomplish an innovative driver safety assistance systems and intelligent  
surveillance systems for eliminating the blind spots and see-through it. We believe that results  
of this research not only can effectively be enhance the driving safety and underground parking  
lot safety, but also can improve overall business opportunity in the global intelligent vehicle  
and smart city.

Reference ( 122 ) 〈TOP〉

Facts 2009, U.S. Department of Transportation, DOT HS 811 402, 2009.
連結：
-455, 2009.
連結：
filtering for night forward vehicle detection," The 6th IEEE Conf. Industrial
連結：
Sotelo, “Autonomous pedestrian collision avoidance using a fuzzy steering controller,” IEEE
連結：
Trans. Intelligent Transportation syst., vol. 12, no. 2, pp. 390-401, 2011.
連結：

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