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Zhaobin Mo

20 papers hereh-index 13815 citations36 works total

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

author position
  • first author9
  • middle author7
  • last author2

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CV4
  • eess.SY2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedA Physics-Informed Deep Learning Paradigm for Car-Following Models

201 citations · 412 across the 18 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

eess.SY2018★ 1 cited

Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks

Huajing Zhao, Zhaobin Mo, Macheng Shen +2

In this paper, we proposed the Interpenetrating Cooperative Localization (ICL) method to enhance the localization accuracy in dynamic connected vehicle networks. This mechanism mak…

cs.LG2018

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning

Sisi Li, Wenshuo Wang, Zhaobin Mo +1

Learning knowledge from driving encounters could help self-driving cars make appropriate decisions when driving in complex settings with nearby vehicles engaged. This paper develop…

cs.LG2018★ 1 cited

Extraction of V2V Encountering Scenarios from Naturalistic Driving Database

Zhaobin Mo, Sisi Li, Diange Yang +1

It is necessary to thoroughly evaluate the effectiveness and safety of Connected Vehicles (CVs) algorithm before their release and deployment. Current evaluation approach mainly re…

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