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Automatic emergency braking system in autonomous vehicles based on the state of the traffic light and fuzzy logic decision making
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-12-01) Palma Zubia, Alejandro; BALLESTEROS ESCAMILLA, MARIANA FELISA; 882791; Fuentes Aguilar, Rita Quetziquel; puemcuervo, emipsanchez; Vazquez Topete, Carlos Renato; Ballesteros Escamilla, Mariana Felisa; School of Engineering and Sciences; Campus Monterrey; Carbajal Espinosa, Oscar Eleno
This work presents the thesis proposal for obtaining the degree of Master of Science in Engineering and tries to solve the problem of braking emergency system of an autonomous vehicle based on the detection and interpretation of traffic lights present on the road. Autonomous braking systems require a control system that can respond to incoming signals in real time corresponding to nearby objects, such as nearby pedestrians, traffic signs and traffic lights. Currently, existing emergency braking systems are designed to avoid vehicles or objects in front of or to the side of the car. On the other hand, the interpretation of the traffic light as an object in front of the vehicle and not as an acceleration or braking signal, reducing the consideration of these in the design of an emergency braking system. In this work the necessary basic knowledge about the concept of functional safety in the existing ISO 26262 an standard for vehicles and automobiles, the current considerations for the development and implementation of an autonomous braking system. As well as the robust control theories previously used for the development of these systems will be presented. The objective of this investigation is the development of a braking system utilizing robust control techniques for emergency braking actions.

Ciencias Exactas y Ciencias de la Salud

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