Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551039
Pertenecen a esta colección Tesis y Trabajos de grado de las Maestrías correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
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- Design and validation of interaction systems in autonomous vehicles(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2025-06) Mandujano Granillo, Jesús Arturo; Lozoya Santos, Jorge de Jesús; emipsanchez; Félix Herrán, Luis Carlos; School of Engineering and Sciences; Campus Monterrey; Tudón Martínez, Juan CarlosAs autonornous vehicle trust through Hurnan-M portant area of researc how the vehicle perceiv driver's behavioral state control. To address th rnentary systerns that i visualization interface feature-based rnonitorinThe research follo lection, and experirnent e6 Neighborhood Elect sensors, GNSS localiza ating Systern (ROS) and alizing vehicle state, en The DMS project lever L5l 5 carnera cornbined such as Eye Aspect Rati tern integrates a calibra and Randorn Forest (RF The HMI systern scenarios, including autonornous path following, gear and speed rnonitoring, and obstacle de tection. The interface successfully cornmunicated critica} information such as driving mode, environrnental object detection, localization, and systern actuation feedback. For the bio rnetric systern, the classification rnodels achieved high accuracy using SVM when tested on unseen data. The validation process confirrned the ability to detect a range of driver states, including eye closure, head distraction, and yawning, by processing extracted features and derived behavioral rnetrics such as blink rate. The outcornes of this thesis highlight the irnportance of designing AV interfaces that cornmunicate its situational awareness, while being capable of acquiring user behavioral in forrnation. The findings support future integration of such systerns into shared rnobility con texts, with potential extensions including user feedback rnodalities, real-time driver alerting mechanisrns, and multi-user calibration capabilities for broader deployment.
- Development of algorithm and architecture design of camera-radar perception system for agriculture & construction machinery(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2023-11-27) De la Fuente Bustos, Juan Francisco David; Camacho León, Sergio; emipsanchez; Escobedo Cabello, Jesús Arturo; School of Engineering and Sciences; Campus Monterrey; Vidal Rosas, AlejandroIn a smart farming & construction automated working scenario, the machinery needs accurate perception resources to autonomously perform the tasks and even stop them when an object is frontal, or rear detected. Automotive devices like lidars, radars, cameras and other vision systems are being integrated into road vehicles over the last years. There is profound literature available only on on-road area; there exist many other challenges when dealing with off-road vehicles such as agriculture & construction machinery. The understanding of sensor fusion levels to develop an advanced, cheap, robust, and reliable Camera-Radar perception system output is proposed. Radar provides speed with great precision, and it has good performance vs poor weather conditions. Camera delivers high resolution images, color, and depth information. The architecture design is driven by a low-level fusion, it means that relies on the choice of simple mmWave radar and stereo camera together with a smart ECU (Electronic Control Unit). As a result, real-time colored 3D cloud point information is obtained with high resolution from the camera and radar. Object range is also given by the radar. The proposed objective is to carry out testing through real experiments, understand camera+radar object detection capabilities along different conditions. Also, the aim of this investigation is to increase repertory of heavy machinery environmental expectations aligned to most common scenarios and how they would affect perception system output.
- 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 ElenoThis 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.