Proyecto de grado: detección de vehículos empleando visión por computador en el marco del proyecto ComVidas

In the last years the progress in research and development on ADAS systems has been noticed, cars factory have chosen develop systems for decrease the rate of car-accidents around the world. as a result of all this research led by differents groups and large-scale projects, we can find safetier and more comfortable cars. However these systems are complexes and they have stages and many other factors to consider, one of these is object recognition. Generally object recognition systems has modern techniques of image processing and artificial intelligence (AI) that allows the system for reacting to the environment e.g (others cars, people, traffic signs). Therefore this techniques have evolved, becoming the system more robust adapting to conditions where the process can be very tough, due to this researcher's of the world have proposed sophisticated techniques for improving the performance of the system. In this thesis, it shows An object recognition system using artificial intelligence with monocular camera, it also shows the most used techniques in this field and the technique used for the authors.

• Autores: Romero, Cristian Felipe; Viveros Albornoz, Juan Gabriel
• Fecha de publicación: 2018
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/5601
• Acceso en línea: http://hdl.handle.net/10819/5601
• Palabra clave: Máquina de aprendizaje; Inteligencia artificial; Detección de vehículos; Vehículos autónomos; Sistemas A.D.A.S; Machine learning; Artificial intelligence; Vehicle detection; Autonomous vehicles; Sistemas de información geográfica; Aplicaciones web; Conducción de automóviles
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia