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researcher

Eduardo Sánchez Morales

3 papers here

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
  • eess.SP2
  • cs.DC1

identity via Semantic Scholar / OpenAlex

most citedUnsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

41 citations · 41 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2020

High Precision Indoor Navigation for Autonomous Vehicles

Eduardo Sánchez Morales, Michael Botsch, Bertold Huber +1

Autonomous driving is an important trend of the automotive industry. The continuous research towards this goal requires a precise reference vehicle state estimation under all circu…

cs.DC2020

Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance

Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull +5

Due to the current developments towards autonomous driving and vehicle active safety, there is an increasing necessity for algorithms that are able to perform complex criticality p…

eess.SP2020★ 41 cited

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales +2

The goal of this paper is to provide a method, which is able to find categories of traffic scenarios automatically. The architecture consists of three main components: A microscopi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.