CNN-LIDAR pedestrian classification: combining range and reflectance data. - Gledson Melotti; Alireza Asvadi; Cristiano Premebida (ICVES, 2018)

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. - Gledson Melotti; Cristiano Premebida; Nuno Gonçalves 001; Urbano José C. Nunes; Diego R. Faria (ITSC, 2018)

Multimodal Deep-Learning for Object Recognition Combining Camera and LIDAR Data. - Gledson Melotti; Cristiano Premebida; Nuno Gonçalves 001 (ICARSC, 2020)

Probabilistic Object Classification using CNN ML-MAP layers. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (CoRR, 2020)

Probabilistic Approach for Road-Users Detection. - Gledson Melotti; W. Lu; Dezong Zhao; Alireza Asvadi; Nuno Gonçalves 001; Cristiano Premebida (CoRR, 2021)

Reducing Overconfidence Predictions in Autonomous Driving Perception. - Gledson Melotti; Cristiano Premebida; Jordan J. Bird; Diego R. Faria; Nuno Gonçalves 001 (IEEE Access, 2022)

Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception. - Gledson Melotti; Johann J. S. Bastos; Bruno L. S. da Silva; Tiago Zanotelli; Cristiano Premebida (CoRR, 2023)

Probabilistic Approach for Road-Users Detection. - Gledson Melotti; Weihao Lu 003; Pedro Conde; Dezong Zhao; Alireza Asvadi; Nuno Gonçalves 001; Cristiano Premebida (IEEE Trans. Intell. Transp. Syst., 2023)