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Andreas Rausch

6 papers hereh-index 427 citations11 works total

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

author position
  • middle author2
  • last author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.SE2
same name
  • Andreas Rausch — 9 papers, h 5
  • Andreas Rausch — 5 papers, h 1
  • Andreas Rausch — 4 papers, h 3
  • Andreas Rausch — 4 papers, h 4
  • Andreas Rausch — 3 papers, h 4
  • Andreas Rausch — 2 papers, h 2

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
20242026
collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Geo-Data-Driven HD Map Generation Workflow with Integrated Reference-Free Constraint-Based Verification

Ruidi He, Vaibhav Tiwari, Mohanad Al-Ghobari +2

High-definition (HD) maps are core artifacts for automated driving systems, but their generation commonly relies on sensor-intensive mobile mapping campaigns, while quality assessm…

cs.RO2026

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain +4

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate…

cs.RO2024

Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving

Iqra Aslam, Igor Anpilogov, Andreas Rausch

Autonomous driving technology is progressing rapidly, largely due to complex End To End systems based on deep neural networks. While these systems are effective, their complexity c…

cs.RO2024

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System

Iqra Aslam, Abhishek Buragohain, Daniel Bamal +3

Environment perception is a fundamental part of the dynamic driving task executed by Autonomous Driving Systems (ADS). Artificial Intelligence (AI)-based approaches have prevailed…

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