Work Description

Title: Demonstrative video for automated weaving function in augmented reality Open Access Deposited

h
Attribute Value
Methodology
  • The video is a combination of two synchronously-captured streams, one from a camera installed in Mcity's automated vehicle and the other from a simulated animation created by MATLAB Simulink.
Description
  • This footage is an output of a USDOT-funded project titled "Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps." It showcases an automated weaving maneuver within an augmented reality environment. During the demonstration, Mcity's automated vehicle navigates through a highway weaving section, making a lane change while interacting with a virtual vehicle. In this instance, Mcity's vehicle was operated by automated driving systems, which executed the lane change based on the detection for external environmental factors and parameter inputs received from the virtual vehicle.
Creator
Creator ORCID
Depositor
  • btwlin@umich.edu
Contact information
Discipline
Funding agency
  • Department of Transportation (DOT)
Resource type
Last modified
  • 02/13/2024
Published
  • 02/13/2024
DOI
  • https://doi.org/10.7302/3ncj-s890
License
To Cite this Work:
Lin, B. T. W. (2024). Demonstrative video for automated weaving function in augmented reality [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/3ncj-s890

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Files (Count: 2; Size: 6.05 MB)

Date: June 16, 2022

Video Title: Automated Vehicle Weaving Demonstration in an Augmented Reality Environment

Video Creator: Brian T.W. Lin

Video Length: 00h:00m:23s

Video Format: MP4

Funding: Center for Connected and Automated Transportation, US Department of Transportation

File Descriptions:
This video demonstrates how an automated vehicle in the real world decides to change lanes in a highway weaving section to take an exit. It considers a virtual vehicle entering the highway on a trajectory that will cross its path.

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