◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Angie Nataly Melo

3 papers hereh-index 268 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedExperimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset

Melo Castillo Angie Nataly, Martin Serrano Sergio, Salinas Carlota +1

Pedestrian detection is a critical task in autonomous driving, aimed at enhancing safety and reducing risks on the road. Over recent years, significant advancements have been made…

cs.LG2024★ 1 cited

RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models

Mohamed Manzour Hussien, Angie Nataly Melo, Augusto Luis Ballardini +3

Prediction of road users' behaviors in the context of autonomous driving has gained considerable attention by the scientific community in the last years. Most works focus on predic…

cs.LG2023★ 2 cited

Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction

Angie Nataly Melo, Carlota Salinas, Miguel Angel Sotelo

In the context of autonomous driving, pedestrian crossing prediction is a key component for improving road safety. Presently, the focus of these predictions extends beyond achievin…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.