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researcher

Daniel Bogdoll

Karlsruhe Institute of Technology

24 papers hereh-index 10544 citations26 works total

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

author position
  • first author18
  • middle author6

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.RO10
  • cs.CV5
  • cs.LG5
  • cs.AI1
  • cs.DL1
  • cs.GR1
affiliations
  • Karlsruhe Institute of Technology
  • FZI Research Center for Information Technology
Homepage
same name
  • Daniel Bogdoll — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedAnomaly Detection in Autonomous Driving: A Survey

161 citations · 428 across the 24 of their papers we have counts for

collaborators
Showing 2022 · cs.ROShow all

4 papers · 2 filters

cs.RO2022★ 29 cited

One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving

Daniel Bogdoll, Stefani Guneshka, J. Marius Zöllner

The core obstacle towards a large-scale deployment of autonomous vehicles currently lies in the long tail of rare events. These are extremely challenging since they do not occur of…

cs.RO2022★ 2 cited

DLCSS: Dynamic Longest Common Subsequences

Daniel Bogdoll, Jonas Rauch, J. Marius Zöllner

Autonomous driving is a key technology towards a brighter, more sustainable future. To enable such a future, it is necessary to utilize autonomous vehicles in shared mobility model…

cs.RO2022★ 161 cited

Anomaly Detection in Autonomous Driving: A Survey

Daniel Bogdoll, Maximilian Nitsche, J. Marius Zöllner

Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set condition…

cs.RO2022★ 5 cited

Quantification of Actual Road User Behavior on the Basis of Given Traffic Rules

Daniel Bogdoll, Moritz Nekolla, Tim Joseph +1

Driving on roads is restricted by various traffic rules, aiming to ensure safety for all traffic participants. However, human road users usually do not adhere to these rules strict…

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