2 documents found, page 1 of 1
Reducing Overconfident Predictions in Multimodality Perception for Autonomous D...
Melotti, GledsonTese de Doutoramento em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia; In the last recent years, machine learning techniques have occupied a great space in order to solve problems in the areas related to perception systems applied to autonomous driving and advanced driver-assistance systems, such as: road users detection, traffic signal recognition, road detection,...
Probabilistic Approach for Road-Users Detection
Melotti, Gledson; Lu, Weihao; Conde, Pedro; Zhao, Dezong; Asvadi, Alireza; Gonçalves, Nuno; Premebida, CristianoObject detection in autonomous driving applications implies the detection and tracking of semantic objects that are commonly native to urban driving environments, as pedestrians and vehicles. One of the major challenges in state-of-the-art deep-learning based object detection are false positives which occur with overconfident scores. This is highly undesirable in autonomous driving and other critical robotic-pe...