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Daniel Bogdoll

Karlsruhe Institute of Technology

10 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 author6
  • middle author3

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.LG3
  • cs.CV1
  • cs.GR1
  • cs.NI1
affiliations
  • Karlsruhe Institute of Technology
  • FZI Research Center for Information Technology
Homepage
same name
  • Daniel Bogdoll — 3 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

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving

Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll +2

Autonomous driving involves multiple, often conflicting objectives such as safety, efficiency, and comfort. In reinforcement learning (RL), these objectives are typically combined…

cs.RO2025

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.RO2025

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

Hannes Reichert, Lukas Lang, Kevin Rösch +6

Full-stack autonomous driving perception modules usually consist of data-driven models based on multiple sensor modalities. However, these models might be biased to the sensor setu…

cs.RO2025

Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation

Daniel Bogdoll, Finn Sartoris, Vincent Geppert +2

Autonomous vehicles drive millions of miles on the road each year. Under such circumstances, deployed machine learning models are prone to failure both in seemingly normal situatio…

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