Propostas para Dissertação

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proponente: Paulo Cortez e André Ferreira
instituição/empresa: DSI, U. Minho e BOSCH Car Multimedia
tema/título: Object detection on images taken from Forward looking infrared (FLIR) cameras
área científica: Data Mining
local: BOSCH Car Multimedia
curso de mestrado: Mestrado Integrado em Engenharia Informática
descrição:
In a context of autonomous driving, perceiving the environment of a vehicle requires the ability to
detect the presence of objects outside or inside the vehicle. This information when captured is
relevant for defining vehicle intelligent responses to events occurring in vehicle surroundings and interior. Project objectives: 1st phase - 12 weeks - Literature review on the topic of eidentification of objects thought machine
learning approaches. Problem Contributos:definition and detailed thesis workplan; - Expected
outcome: survey of relevant works on the topic and thesis plan. 2nd Phase - 35 weeks - Definition of a data mining / deep learning approach to object recognition in
images within the vehicle by a FLIR camera. - Implementation of the classification algorithm using
deep learning frameworks (MatLab, Tensor Flow, etc.) on NVIDIA Tegra TX2 boards (using CUDA
toolkit). This MSc will take place at BOSCH Car Multimedia and it will be funded as a \\\"Estágio
Curricular\\\".


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