Abstract
In this article, we introduce an image sensor–based optical vehicular communication system for performing vehicular condition resolution adaptively in the spatial domain and the temporal domain. To validate the proposed system, a dual camera–based approach is presented here, where a vision camera is used to detect multiple vehicles of interest (i.e. spatial condition), a communication link is set up, and then, a high-speed camera adapts its resolution to ensure fast processing and high-rate data communication (i.e. temporal condition). We suggest an adaptive algorithm that supports the detection of and communication multiple vehicles simultaneously in spatial-temporal condition. Moreover, we propose a combination of scale-invariant feature transform and iterative closest point for detection and classification of multiple vehicles. To prove the feasibility of our proposed scheme, we present simulation results.
Highlights
In the present technologically developed world, connectivity among devices is expected to increase dramatically
The proposed image sensor–based vehicular communication system can fulfill the requirements of multiple vehicle detection and fast information processing to support adaptive spatial and temporal conditions
We proposed a vehicular communication system for adaptive spatial and temporal conditions using an image sensor–based visible light communication (VLC) system
Summary
In the present technologically developed world, connectivity among devices is expected to increase dramatically. They can spatially separate objects and distinguish among sources, allowing for the easy discrimination of data containing light sources from interfering sources, such as sunlight, streetlights, and other background lighting This lack of interference ensures a high signal-to-noise ratio (SNR) even in outdoor environments.[12] In addition, the communication performance of VLC systems based on image sensor receivers remains stable and reliable even when the communication distance increases.[12]. The vision camera is used for detecting multiple vehicles in the spatial scenario, while the high-speed camera is used for communication purposes (i.e. decoding the information). The proposed image sensor–based vehicular communication system can fulfill the requirements of multiple vehicle detection and fast information processing to support adaptive spatial and temporal conditions. Section ‘‘Conclusion’’ presents the concluding remarks along with an outline of future research directions
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