1. Repositório Aberto da Universidade do Porto
2. FEUP - Faculdade de Engenharia
3. FEUP - Dissertação

Author(s):	Bernardo Magina Madureira Palha de Araújo
Title:	Label-efficient learning of LiDAR-based perception models for autonomous driving
Issue Date:	2021-07-22
Description:	Deep learning on 3D LiDAR point clouds is in its infancy stages, with room to grow and improve, especially in the context of automated driving systems. A considerable amount of research has been pointed at this particular application very lately as a means to boost the performance and reliability of self-driving cars. However, the quantity of data needed to supervise perception point cloud-based models is extremely large and costly to annotate. This thesis studies, evaluates and compares state-of-the-art detection networks and label efficient learning techniques, shedding some light on how to train perception models on point clouds with less annotated data.
Subject:	Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering
Scientific areas:	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI:	10.34626/mt86-6n26
TID identifier:	202818101
URI:	https://hdl.handle.net/10216/135271
Document Type:	Dissertação
Rights:	openAccess
Appears in Collections:	FEUP - Dissertação

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