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We present an eye tracking system developed to study the driver's gaze behavior while driving a car. Two main challenges distinguish this project from similar works with analogous purposes: (1) the use of a cheap portable remote eye tracker, normally employed for indoor applications in controlled light conditions; and (2) the use of an ordinary webcam to shoot the road in front of the car. The purpose...
a built-in system was implemented with a GPU in order to recognize the license plate number without detection line. The deep-learning network to recognize the license plate number of the vehicle uses relatively simple AlexNet. Tests confirm that the vehicle license plate can be effectively recognized on the Jetson TX1 board system.
Object classification is an important task in vision-based systems. In this work, an intelligent system to perform detection and classification of road objects is presented. The proposed method utilize machine learning algorithm to classify group of points into various categories that represent several road objects. This classification system was trained using 50 features of 2D laser point which were...
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