◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Meuter

2 papers hereh-index 12481 citations34 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedEfficient fine-grained road segmentation using superpixel-based CNN and CRF models

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 2 cited

Deep Learning Method for Cell-Wise Object Tracking, Velocity Estimation and Projection of Sensor Data over Time

Marco Braun, Moritz Luszek, Mirko Meuter +3

Current Deep Learning methods for environment segmentation and velocity estimation rely on Convolutional Recurrent Neural Networks to exploit spatio-temporal relationships within o…

cs.CV2022★ 3 cited

Efficient fine-grained road segmentation using superpixel-based CNN and CRF models

Farnoush Zohourian, Jan Siegemund, Mirko Meuter +1

Towards a safe and comfortable driving, road scene segmentation is a rudimentary problem in camera-based advance driver assistance systems (ADAS). Despite of the great achievement…

◍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.