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Maximilian Zipfl

17 papers hereh-index 8171 citations21 works total

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

author position
  • first author9
  • middle author8

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.LG4
  • cs.CV2
  • cs.AI1
  • cs.GR1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedRelation-based Motion Prediction using Traffic Scene Graphs

12 citations · 21 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.RO2024

Empowering Autonomous Shuttles with Next-Generation Infrastructure

Sven Ochs, Melih Yazgan, Rupert Polley +9

As cities strive to address urban mobility challenges, combining autonomous transportation technologies with intelligent infrastructure presents an opportunity to transform how peo…

cs.RO2024

CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research

Marc Heinrich, Maximilian Zipfl, Marc Uecker +9

Real world testing is of vital importance to the success of automated driving. While many players in the business design purpose build testing vehicles, we designed and build a mod…

cs.RO2024

Scene-Extrapolation: Generating Interactive Traffic Scenarios

Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner

Verifying highly automated driving functions can be challenging, requiring identifying relevant test scenarios. Scenario-based testing will likely play a significant role in verify…

cs.RO2024★ 2 cited

One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level

Sven Ochs, Jens Doll, Daniel Grimm +15

Most automated driving functions are designed for a specific task or vehicle. Most often, the underlying architecture is fixed to specific algorithms to increase performance. There…

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