papers.bib

@misc{52b12189dd6ae2906835ffbd90faeece8a5d2fe973ee1d06c11f2b54f89127be,
  title       = {Digital Twin for Driving},
  author      = {Guerra, Erick and Wu, Zhanqian and Zhang, Lying and Hernandez, Jaime and Leibowitz, Chase and Loeb, Helen and Dong, Xiaoxia and Mangharam, Rahul},
  url         = {https://rosap.ntl.bts.gov/view/dot/77502},
  html        = {https://rosap.ntl.bts.gov/view/dot/77502/},
  pdf         = {https://rosap.ntl.bts.gov/view/dot/77502/dot_77502_DS1.pdf},
  publisher   = {Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)},
  collection  = {University Transportation Centers},
  contributor = {United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology},
  year        = {2024},
  month       = {july},
  keywords    = {Application Programming Interfaces;Construction;Digital Displays;Digital Mapping;Digital Twin;Driving Simulators;Geospatial Data;Scene Construction;Simulation;Traffic Flow;Traffic Flow Model;Virtual Reality},
  language    = {English},
  abstract    = {Technical Report for Wu, Zhanqian; Zhang, Lying; Hernandez, Jaime; Leibowitz, Chase; Loeb, Helen; Dong, Xiaoxia; Guerra, Erick; and Mangharam, Rahul, "Pipeline for Fast Digital Twin Development and Integration in Driving Simulation" (2024).},
  note        = {Contract: 69A3552344811/69A3552348316; Corporate Creators: Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC); Corporate Contributors: United States. Department of Transportation. University Transportation Centers (UTC) Program, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology},
  preview     = {digital-twin-driving-preview.png},
  abbr        = {ROSA P USDOT},
  selected    = {false}
},
 @article{https://doi.org/10.13023/2024.rss29,
  title     = {Driving Simulation for Driving Education: Can Mixed Reality Do It?},
  author    = {Loeb, Helen and Leibowitz, Chase and Tehrani, Ronit and Hernandez, Jaime},
  doi       = {10.13023/2024.RSS29},
  url       = {https://uknowledge.uky.edu/ktc_present/22/},
  pdf       = {https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1030&context=ktc_present},
  journal   = {Kentucky Transportation Center Presentations. 22},
  publisher = {University of Kentucky Libraries},
  year      = {2024},
  month     = {oct},
  keywords  = {FOS: Civil engineering},
  language  = {English},
  note      = {Presented at the 2024 Road Safety & Simulation Conference in Lexington, KY, held October 28-31, 2024},
  abbr      = {UKnowledge},
  selected  = {false}
},
 @inproceedings{Loeb_2024,
  title       = {Leveraging the Internet to Drive a Real Car in the Virtual Earth 3D Model},
  author      = {Loeb, Helen S. and Hernandez, Jaime and Leibowitz, Chase and Loeb, Benjamin and Guerra, Erick and Mangharam, Rahul},
  doi         = {10.4271/2024-01-2878},
  url         = {http://dx.doi.org/10.4271/2024-01-2878},
  issn        = {2688-3627},
  booktitle   = {SAE Technical Paper Series},
  publisher   = {SAE International},
  collection  = {https://www.sae.org/publications/technical-papers/content/2024-01-2878/},
  contributor = {University of Pennsylvania},
  year        = {2024},
  month       = {apr},
  keywords    = {Augmented / virtual reality;Data acquisition and handling;Simulators;Autonomous vehicles;Navigation and guidance systems;Steering wheels;Satellite communications;Satellites;Global positioning systems (GPS);Internet },
  language    = {English},
  series      = {ANNUAL},
  abstract    = {Digital mapping tools have become indispensable for road navigation. Applications like Waze and Google Maps harness the power of satellite imagery to provide precise visualization of GPS coordinates. The field advanced significantly in May 2023 with the introduction of dynamic 3D representations of the Earth. Companies such as Cesium now offer Unity3D and Unreal Engine Application Programming Interface that can be applied to geospatial applications. These images are no longer static and offer the opportunity to provide seamless continuous navigation. Driving simulation has been widely used for training and research. We investigate with this project the potential of this new geospatial database as a tool for scenario development to study manual and autonomous driving. We present an in-vehicle driving simulation integration that employs a real steering wheel and pedals from a stationary vehicle as controls. The visual experience is delivered through the Meta Quest Headset through an overlay in a Mixed Reality environment.    Two case scenarios are examined. The first case involves navigating downtown Denver. The use of photorealistic representations of Denver's buildings offers an immersive experience, although the 3D topology presents some irregularities. These irregularities result from the limited number of polygons used for the digital modeling, especially on flat surfaces like roads and pavements.    The second scenario leverages the hilly landscapes outside Denver. These areas, characterized by arid, treeless terrain typical of Colorado, offer a smooth driving experience. Still, the technology incorporates projection such as phantom cars, flat images of vehicles on the roadway that were captured during satellite data acquisition. We explore opportunities to address these inaccuracies and enhance the environment for a more realistic and immersive driving experience.},
  note        = {Presented at the WCX SAE World Congress Experience},
  video       = {https://youtu.be/YFGLZSy5ff4?si=TUcXuQQ1O7ef8Poq},
  preview     = {metadrive-xr_video-preview.png},
  abbr        = {SAE International},
  selected    = {true}
},
@article{https://doi.org/10.13023/2024.rss08,
  title       = {Pipeline for Fast Digital Twin Development and Integration in Driving Simulation},
  author      = {Wu, Zhanqian and Zhang, Lying and Hernandez, Jaime and Leibowitz, Chase and Loeb, Helen and Dong, Xiaoxia and Guerra, Erick and Mangharam, Rahul},
  doi         = {10.13023/2024.RSS08},
  url         = {https://uknowledge.uky.edu/ktc_present/43/},
  pdf         = {https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1009&context=ktc_present},
  journal     = {Kentucky Transportation Center Presentations. 43},
  publisher   = {University of Kentucky Libraries},
  collection  = {Civil and Environmental Engineering Commons},
  contributor = {University of Pennsylvania},
  year        = {2023},
  month       = {dec},
  keywords    = {FOS: Civil engineering},
  language    = {English},
  abstract    = {The use of digital mapping with precise GPS coordinates has allowed intelligent navigation, which is now ubiquitous in vehicles. The flat 2D imagery provided by Google maps was recently enhanced by the introduction of dynamic 3D representations of the Earth. Unity3D and Unreal Games Engines now offer Application Programming Interfaces that can be leveraged for geospatial applications. This technology, which offers visually compelling results for flight simulation and drone applications, opens new opportunities for driving simulation.This paper presents an innovative approach for developing a drivable Digital Twin of Philadelphia’s Roosevelt Boulevard to enhance urban planning and traffic management using advanced simulation technologies. We introduce a complete pipeline that integrates geospatial imagery with data from Google Maps and OpenStreetMap (OSM) through tools like CityEngine and RoadRunner, enabling the creation of highly detailed, editable 3D urban scenes. This methodology facilitates rapid modifications to urban landscapes, exemplified by the integration of a bus lane into existing road infrastructure, demonstrating significant advancements over traditional methods. The core of our approach is a dynamic traffic flow model developed within the Unity driving simulator, utilizing probabilistic distributions and real-world data from the NGSIM dataset to mirror actual traffic conditions accurately. This model supports the simulation of realistic, varied, and dynamic traffic patterns, crucial for testing and evaluating urban traffic scenarios and infrastructure changes. The implementation showcases the potential of digital twins for transforming urban planning and traffic systems by providing a reliable platform for scenario testing and decision-making.},
  note        = {Presented at the 2024 Road Safety & Simulation Conference in Lexington, KY, held October 28-31, 2024},
  video       = {https://youtu.be/38Tqa12ytIM?si=tW5iH1AeDD3-Od6B}, 
  preview     = {pipeline-digital-twin-preview.png},
  abbr        = {UKnowledge},
  selected    = {true}
},