Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Bayesian Gaussian Mixture Models for Enhanced Radar Sensor Modeling: A ..."

Kelvin Walenta, Simon Genser, Selim Solmaz (2024)

> Home

Details and statistics

DOI: 10.3390/S24072177

access: open

type: Journal Article

metadata version: 2024-05-17

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/WalentaGS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/WalentaGS24
Kelvin Walenta, Simon Genser, Selim Solmaz:
Bayesian Gaussian Mixture Models for Enhanced Radar Sensor Modeling: A Data-Driven Approach towards Sensor Simulation for ADAS/AD Development. Sensors 24(7): 2177 (2024)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.