Grant – Page 4

VR for Police Training

August 3, 2020/in Mixed Reality, News, Research, XR-Lab /by Ming Tang

Active Shooter Simulation

Develop several fully immersive 3D VR active shooter scenarios that can run on cost-effective commercially available VR hardware.

Final Report for OCJS Project

Develop and Assess Active Shooter Virtual Reality Training for Ohio Law Enforcement. PI: J.C Barnes. Co-PI: Tang Office of Criminal Justice Services. $50,000. 09. 2020-09.2021 ( $29,608)

Development of a Virtual Reality Augmented Violence Reduction Training System for Active and Mass Shooting incidents. PI: Ed Latessa. Co-PIs: J.C. Barnes, Ming Tang, Cory Haberman, Dan Gerard, Tim Sabransky. $10,000. Start-up fund. UC Digital Futures anchor tenant cohort.

Shimmer GSR sensor is used to test Physiological stress.

Checklist

Using Checklists and Virtual Reality to Improve Police Investigations. Collaborative Research Advancement Grants. UC. $25,000. PI: Haberman. Co-PI: Tang, Barnes. Period: 07.2020-01.2022.

Team:

Ming Tang, Cory Haberman, J.C. Barnes, Cheryl Jonson, Dongrui Zhu, Heejin Lee, Jillian Desmond, Ruby Qiu, Snigdha Bhattiprolu, Rishyak Kommineni

Publications:

Cory P. Haberman, Ming Tang, JC Barnes, Clay Driscoll, Bradley J. O’Guinn, Calvin Proffit,. Using Virtual Reality Simulations to Study Initial Burglary Investigations. American Society of Evidence-Based Policing’s 2023 Conference. 2023. Las Vegas. Nevada.

Design Process

To create simulated human behavior, either during the active shooting, or the casual human dialogue, the team designed a A.I system to simulate the decision trees. Please watch the technique breakdown demo.

Safety Vests

July 17, 2020/in Mixed Reality, Research, XR-Lab /by Ming Tang

Grant: Assess the effectiveness of Type 2 and Type 3 safety vests for day and night use-Phase. Ohio Department of Transportation. PI: John Ash. Co-PI: Ming Tang. Julian Wang. $337,366.31. ($191,458.16 in FY2020 and $145,908.15 in FY2021) Period: 02.2020-02.2022.

Ming Tang leads the modeling team constructed the virtual reality driving simulation, and conducted eye-tracking data collection to measure driver’s perception on the construction zone and various vest, signage and vehicles.

Work zones are an essential component of any state transportation agency’s construction and maintenance operations. As such, agencies apply numerous practices to keep their workers safe during construction operations. The Ohio Department of Transportation (ODOT) recently invested in several more advanced items to improve worker safety (and traveler safety, by hopefully reducing the number of crashes overall). Specifically, ODOT invested in Type 2 and 3 safety vests, halo lights, and reflectors on the back of dump trucks. In 2020, a team of researchers from the University of Cincinnati (UC) worked with the Ohio Department of Transportation to assess the effectiveness of safety vests for day and night use.

The simulation-based evaluation used measurements to create realistic retroreflective vests, lights, and other safety equipment in virtual scenarios. These items were then placed in different virtual work zone environments, each of which had different work zone setup conditions, traffic control, vests worn by workers, time of day/ambient lighting, etc. Through an eye-tracking experiment measuring participants’ gaze on workers in different virtual work zone scenarios and a driving simulator experiment in which participants drove through virtual work zones and were asked follow-up questions on worker conspicuity, subjective and objective measures of worker visibility were obtained.

Use Virtual Reality and Eye-tracking to evaluate the safety of vest on the highway construction site.

To access copies of the final report, visit: https://www.transportation.ohio.gov/programs/research-program/research-projects/02-research-projects

This research was sponsored by the Ohio Department of Transportation and the Federal Highway Administration.

Protected: Computer Vision of Building Roof Analysis

April 21, 2020/in Research /by Ming Tang

Ihsan Community Center Design and Renovation

December 19, 2019/in News, Teaching /by Ming Tang

Grant. Ihsan Community Center Design. Sponsored studio. $5,000. PI: Tang

The “Ihsan Community Center Design and Renovation” is a sponsored studio by Ihsan community. The studio explored design possibilities and engaged the Ihsan community in developing future visions. The redesign and renovation of the current Ihsan community center emphasized logical architectural space, including prayer area, classrooms for educational programs, multi-purpose hall, and outdoor recreation. The project was developed by optimizing the current structure, space reorganization, and looking to build a vision for the land and building that will bring a sense of pride to the Islamic architecture and will encourage participation from youth and adults alike.

DAAP team: Kristian Van Wiel, Maddie Cooke, Nick Chism, Seanna LaGanke, Ummul Buhari-Mohammed, Amy Cui. Faculty: Ming Tang. Advisors: Xiangbin Xu, Yongquan Chen

UC DAAP students presented their design to the Ihsan Community members. Photograph by Xiangbin Xu

Community engagement.

presentation at the Ihsan community.

The proposed design was modeled in Autodesk BIM 360 + Revit, and evaluated through the immsersive VR with Occulus Quest.

Thanks to all the supports from the Ihsan Community, the School of Architecture and Interior Design, and Autodesk. Thanks to the field trip with the Islamic Center of Greater Cincinnati (ICGC), Clifton Mosque, and Islamic Center of Mason.

For more information on this project, please contact Ihsan Community or Prof. Ming Tang at UC DAAP.

Digital Twin of Ohio Highway. Training Simulation for snowplow

December 17, 2019/in Mixed Reality, Research, XR-Lab /by Ming Tang

Ming Tang led the team that constructed six large-scale Ohio highway digital twins for snowplow drivers. The road models, which are 70 miles long and span three Ohio counties, were based on real-site GIS and TOPO data.

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase 2. Ohio Department of Transportation. PI: John Ash. Co-PI: Ming Tang, Frank Zhou, Mehdi Norouzi, $952,938. Grant #: 1014440. ODOT 32391 / FHWA Period: 01.2019-03.2022.

“Evaluate Opportunities to Provide Training Simulation for ODOT Snow and Ice Drivers”. Phase-1. Ohio Department of Transportation. PI: Jiaqi Ma. Co-PI: Ming Tang, Julian Wang. $39,249. ODOT 32391 / FHWA. Period: 01.2018- 01.2019.