Term of Award
Summer 2020
Degree Name
Master of Science, Mechanical Engineering
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Mechanical Engineering
Committee Chair
Valentin Soloiu
Committee Member 1
Aniruddha Mitra
Committee Member 2
Marcel Ilie
Committee Member 3
Robert Lugner
Committee Member 3 Email
robert.lugner@carissma.eu
Abstract
Many nations and organizations are committing to achieving the goal of `Vision Zero' and eliminate road traffic related deaths around the world. Industry continues to develop integrated safety systems to make vehicles safer, smarter and more capable in safety critical scenarios. Passive safety systems are now focusing on pre-crash deployment of restraint systems to better protect vehicle passengers. Current commonly used bounding box methods for shape estimation of crash partners lack the fidelity required for edge case collision detection and advanced crash modeling. This research presents a novel algorithm for robust and accurate contour estimation of opposing vehicles. The presented method is evaluated via a developed framework for key performance metrics and compared to alternative algorithms found in literature.
OCLC Number
1197777556
Catalog Permalink
https://galileo-georgiasouthern.primo.exlibrisgroup.com/permalink/01GALI_GASOUTH/1fi10pa/alma9916375045102950
Recommended Citation
Mothershed, David M., "Quantitative Performance Assessment of LiDAR-based Vehicle Contour Estimation Algorithms for Integrated Vehicle Safety Applications" (2020). Electronic Theses and Dissertations. 2132.
https://digitalcommons.georgiasouthern.edu/etd/2132
Research Data and Supplementary Material
No
Included in
Computational Engineering Commons, Navigation, Guidance, Control, and Dynamics Commons, Robotics Commons
