Real Data-Based Validation of Highly Automated Driving Functions Using Simulation Methods (2020)

Präsentation jetzt herunterladen: Real Data-Based Validation of Highly Automated Driving Functions Using Simulation Methods

  • Referent: Raphael Pfeffer
  • Unternehmen: Karlsruhe Institute of Technology
  • Länge: 25:18

Zugehörige Dateien

Application of a CI/CT/CD Environment to evelop ADAS Functions (2022)
ARTS: Implementation of an Adaptive Replay-To-Sim Approach Within a Scenario-Based Simulation Platform for the Safety Validation of AD Systems (2022)
VIL Testing: Importance of Precise Reference Motion and Navigation Sensing (2022)
Radar Simulation with CarMaker 9 – Virtual validation of radar software components during the development process (2020)