◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Kneissl

3 papers hereh-index 7191 citations17 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • cs.RO1
  • eess.SY1
same name
  • M. Kneissl — 1 paper, h 6
  • M. Kneissl — 1 paper, h 53

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
20142022
most citedAcoustic Gait-based Person Identification using Hidden Markov Models

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2022

Learning Critical Scenarios in Feedback Control Systems for Automated Driving

Mengjia Zhu, Alberto Bemporad, Maximilian Kneissl +1

Testing is essential for verifying and validating control designs, especially in safety-critical applications. In particular, the control system governing an automated driving vehi…

cs.RO2021

Safe, Deterministic Trajectory Planning for Unstructured and Partially Occluded Environments

Sebastian vom Dorff, Maximilian Kneissl, Martin Fränzle

Ensuring safe behavior for automated vehicles in unregulated traffic areas poses a complex challenge for the industry. It is an open problem to provide scalable and certifiable sol…

cs.HC2014★ 2 cited

Acoustic Gait-based Person Identification using Hidden Markov Models

Jürgen T. Geiger, Maximilian Kneißl, Björn Schuller +1

We present a system for identifying humans by their walking sounds. This problem is also known as acoustic gait recognition. The goal of the system is to analyse sounds emitted by…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.