Collision Reconstruction Methodologies. Volume 3B, Photogrammetry / edited by Christopher Armstrong.

Format:

Book

Contributor:

Armstrong, Christopher, editor.

Society of Automotive Engineers, publisher.

Series:

Society of Automotive Engineers. Electronic publications.

Society of Automotive Engineers. Electronic publications

Collision Reconstruction Methodologies

Language:

English

Subjects (All):

Traffic accident investigation--Methodology.

Traffic accident investigation.

Traffic accidents--Research.

Traffic accidents.

Automobiles--Collision damage.

Automobiles.

Physical Description:

1 online resource (1 PDF (222 pages)).

Edition:

1st ed.

Other Title:

Collision Reconstruction Methodologies Volume 3B

Place of Publication:

Warrendale, Pa. (400 Commonwealth Dr., Warrendale PA USA) : Society of Automotive Engineers, 2018.

Summary:

The last ten years have seen explosive growth in the technology available to the collision analyst, changing the way reconstruction is practiced in fundamental ways. The greatest technological advances for the crash reconstruction community have come in the realms of photogrammetry and digital media analysis. The widespread use of scanning technology has facilitated the implementation of powerful new tools to digitize forensic data, create 3D models and visualize and analyze crash vehicles and environments. The introduction of unmanned aerial systems and standardization of crash data recorders to the crash reconstruction community have enhanced the ability of a crash analyst to visualize and model the components of a crash reconstruction. Because of the technological changes occurring in the industry, many SAE papers have been written to address the validation and use of new tools for collision reconstruction. Collision Reconstruction Methodologies Volumes 1-12 bring together seminal SAE technical papers surrounding advancements in the crash reconstruction field. Topics featured in the series include: Night Vision Study and Photogrammetry; Vehicle Event Data Recorders; Motorcycle, Heavy Vehicle, Bicycle and Pedestrian Accident Reconstruction. The goal is to provide the latest technologies and methodologies being introduced into collision reconstruction - appealing to crash analysts, consultants and safety engineers alike.

Contents:

Cover

Table of contents

Introduction

VOLUME 3B : CHAPTER 1 Close-Range Photogrammetry with Laser Scan Point Clouds

Test Methods and Data Acquisition

Data Processing and Evidence Location

Digital Image Processing

Site Diagram

Analysis in Photomodeler

Analysis in Leica Cyclone

Error Analysis

Results

Discussion

Conclusions

References

VOLUME 3B: CHAPTER 2 A Close-Range Photogrammetric Solution Working with Zoomed Images from Digital Cameras

Overview of Zoom-Dependent (Z-D) Analysis

Illustrative Photogrammetric Study

Z-D Calibration Procedure

Small-Scale "Vehicle" Network Measurement of the Porsche 911

Discussion of the Vehicle Z-D Networks

Large-Scale Network Measurement of Natural Features in a Parking Lot Scene

Scaling the Networks

Discussion of Results

Small-Scale Projects

DSLR Cameras-Incident and Exemplar Z-D Calibrations

DSLR Cameras-Using EXIF Focal Length

PAS Cameras-Kodak C142-Incident and Exemplar Z-D Calibrations

PAS Cameras-Kodak C142-Using EXIF Focal Length

PAS Cameras-Kodak C142-Using FOOM Calibration

PAS Cameras-Nikon S510-Incident Z-D Calibrations

PAS Cameras-Nikon S510-Using EXIF Focal Length

PAS Cameras-Canon SD 1300 IS-Incident Z-D Calibration

PAS Cameras-Canon SD 1300 IS-Using EXIF Focal Length

Large-Scale Project

General Observations

Conclusions and Recommendations

VOLUME 3B: CHAPTER 3 Four-Point Planar Homography Algorithm for Rectification Photogrammetry: Development and Applications

Methods

Geometry

Linear Map

Four Control Points

Conditioning

Four-Point Algorithm

Case Study 1

Conclusion

Acknowledgment

Appendix

Appendix A

Case Study 2

Laboratory Data Study.

VOLUME 3B: CHAPTER 4 Video Projection Mapping Photogrammetry through Video Tracking

Background

Procedure

Documenting the Accident Scene

Processing and Tracking the Video Footage to Make a 3D Computer Model

Projection Mapping From Video onto the Computer Model

Evaluation of the Accuracy of Projection Mapping

VOLUME 3B: CHAPTER 5 Applying Camera Matching Methods to Laser-Scanned Three-Dimensional Scene Data with Comparisons to Other Methods

Photogrammetry Methods Used

Photogrammetry Software

Photogrammetry Using Point Cloud Data

Photograph Rectification of Point Cloud Data

Camera Matching to Point Cloud Data

Photogrammetry Using 3D Scanner Data

The Method of Virtual Camera Matching to a Scene

Applying the Virtual Camera Matching Method to a Complex Crash on Sloped Terrain

Accuracy Comparison for the Staged Collision

Photograph Considerations for Camera Matching Photogrammetry

Summary/Conclusions

Acknowledgments

VOLUME 3B: CHAPTER 6 Accuracy of SUAS Photogrammetry for Use in Accident Scene Diagramming

Method

Total Station Measurement

Photogrammetric Measurement

Appendix A: Measurement Data

Appendix B: Mock Accident Scene Diagrams

Appendix C: Mock Accident Scene Orthophotos

VOLUME 3B: CHAPTER 7 The Accuracy of an Optimized, Practical Close-Range Photogrammetry Method for Vehicular Modeling

Methodology

Photogrammetry

Total Station

FaroArm

Data Comparison

Photogrammetry vs. Total Station

Photogrammetry vs. FaroArm

References.

Acknowledgments

Appendix A-Photographs used for Acura Photogrammetry vs. Total Station Model

Appendix B-Photographs used for Chrysler Photogrammetry vs. Total Station Model

Appendix C-Photographs used for VW Photogrammetry vs. Total Station Model

Appendix D-Photographs used for Acura Photogrammetry vs. Faroarm Model

Appendix E-Photogrammetry Data for Acura Photogrammetry vs. Total Station Model

Appendix F -Photogrammetry Data for Chrysler Photogrammetry vs. Total Station Model

Appendix G-Photogrammetry Data for VW Photogrammetry vs. Total Station Model

Appendix H-Photogrammetry Data for Acura Photogrammetry vs. Faroarm Model

VOLUME 3B: CHAPTER 8 Evaluation of the Accuracy of Image-Based Scanning as a Basis for Photogrammetric Reconstruction of Physical Evidence

Underlying Concepts-Image-Based Scanning

Advantages of Unmanned Aerial Vehicles

Discussion and Conclusions

Appendix A-Images of Photogrammetric Process

Appendix B-Comparison of Individual Reconstructed Points to FARO Scan Data

VOLUME 3B: CHAPTER 9 An Evaluation of Two Methodologies for Lens Distortion Removal when EXIF Data is Unavailable

Cameras

Physical Study Site Layout and Documentation

Automatic, Library-Based Method

Straight-Line Method

Point Cloud Method

Analysis/Results

Straight-Line Method: Radial Pixel Movement

Straight-Line Method: Photogrammetry

Point Cloud Method: Radial Pixel Movement

Point Cloud Method: Photogrammetry

Camera Locations

Definitions/Abbreviations

Appendix B

About the Author.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9780768094404

0768094402

9780768095203

0768095204

OCLC:

1250609195