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Joshua Siegel

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • cs.RO2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDeveloping, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning

Siddhartha Bhattacharya, Daniel Helo, Joshua Siegel

Federated learning (FL) enables a collaborative environment for training machine learning models without sharing training data between users. This is typically achieved by aggregat…

cs.RO2024★ 1 cited

Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles

Michael Khalfin, Jack Volgren, Matthew Jones +3

Self-driving vehicles have the potential to reduce accidents and fatalities on the road. Many production vehicles already come equipped with basic self-driving capabilities, but ha…

cs.RO2024

Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles

Mohammadali Saffary, Nishan Inampudi, Joshua E. Siegel

As highly automated vehicles reach higher deployment rates, they find themselves in increasingly dangerous situations. Knowing that the consequence of a crash is significant for th…

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