AV Occupant ID Optical Based Occupant Identification and Classification for Autonomous Vehicles
Due to recent advances in sensing technologies, modern vehicle occupant classification systems enable personalized vehicle experiences and adaptive occupant crash protection. However, most systems are limited to occupant detection and simple classification, and thus, accurate estimation of body characteristics are needed to support more advanced occupant classification. This paper presents a model-based characterization method for vehicle occupants using a 3D depth camera. This method automatically estimates standard anthropometric data of an occupant such as stature and weight along with the body shape by fitting a statistical body shape model to depth image data. The system is even robust to a wide range of clothing and is capable of generating accurate results. A variety of other algorithms were developed to improve the fitting result, including seat geometry detection and head location estimation. The new capability has a range of potential applications for improving occupant safety and providing an optimized interior configuration for the occupant. The final report for this project will not be publicly available.
Language
- English
Project
- Status: Completed
- Funding: $199,999 Ford (100% Cost Share)
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Contract Numbers:
69A3551747105
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Sponsor Organizations:
University Transportation Center Program
1200 New Jersey Avenue, SE
Washington, DC United States 20590University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Managing Organizations:
University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
University of Michigan Transportation Research Institute
2901 Baxter Road
Ann Arbor, Michigan United States 48109 -
Principal Investigators:
Reed, Matthew
- Start Date: 20170202
- Expected Completion Date: 20190131
- Actual Completion Date: 20190131
- USDOT Program: University Transportation Centers Program
- Subprogram: Research
Subject/Index Terms
- TRT Terms: Human characteristics; Human factors engineering; Vehicle classification
- Subject Areas: Design; Vehicles and Equipment;
Filing Info
- Accession Number: 01744640
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3551747105
- Files: UTC, RIP
- Created Date: Jul 1 2020 12:52PM