RT Generic
T1 Machine Learning algorithm evaluation on advanced driver assistance
T2 Evaluación de algoritmos de Machine Learning para conducción
A1 Sun, Wenbo
AB In this research and development project, our main purpose is to study four deep learning architectures for real-time object detection of people and bicycles encountered in front of driving.We use 4 different algorithms for the same data set, and compare the mAPs obtained after training. And discuss which method is the most accurate, but also consider the time it takes to get what is suitable for what kind of scene.The project I came up with would like to be used in a driving assistance system. The system uses camera sensors to get input, and then uses algorithms to assist, so that the safety of the car is guaranteed when driving. At the same time, it can run on a lowperformance version of the machine and compare the fps of different algorithms.
YR 2021
FD 2021
LK https://hdl.handle.net/20.500.14352/10604
UL https://hdl.handle.net/20.500.14352/10604
LA eng
NO Trabajo de Fin de Grado en Ingeniería Informática, Facultad de Informática UCM, Departamento de Arquitectura de Computadores y Automática, Curso 2020/2021.
DS Docta Complutense
RD 30 jul 2025