Machine Vision for Intelligent Vehicles in India

Abstract

AbstractThis paper consists of a cross-examination on previous exploration done on machine vision for intelligent vehicles with respect to our new technical ideas which can be implemented for the betterment in intelligent vehicles. We have stated about various technical advancements in machine vision in the past few decades in various parts of world which can be considered in India. We have proposed a model with the advancement of autonomous vehicles which can be productive for use in India. We stated the current environmental conditions which impacts vehicle and its performance. Depth and optical flow has been acknowledged in the vision algorithms, which is used for betterment in image processing with minimal computation power and special instruments/hardware in the autonomous vehicles for efficiency. We demonstrated routine tasks, mapping and localization processes, which play an important role for detection of objects. Map data often influences high-profile verdicts of intelligent vehicles for better accuracy in meters. The results seem to be promising, showing that the machine vision system is useful in enhancing the vision algorithms, and the proposed ideas are robust for acknowledgment of complex road environments conditions in India. Hereafter, challenges of the machine vision in intelligent vehicles are also conferred.KeywordsMachine visionAutomatic vehicle guidanceIntelligent machinesIntelligent transportation systemVision algorithmMultivariate decision treesClassification