Accuracy of Mobile Phone LiDAR on Crashed Vehicles

<div class="section abstract"><div class="htmlview paragraph">Apple’s mobile phone LiDAR capabilities can be used with multiple software applications to capture the geometry of vehicles and smaller objects. The results from different software have been previously researched and compared to traditional ground-based LiDAR. However, results were inconsistent across software applications, with some software being more accurate and others being less accurate. (Technical Paper 2023-01-0614. Miller, Hashemian, Gillihan, Benes.) This paper builds upon existing research by utilizing the updated LiDAR hardware that Apple has added to its iPhone 15 smartphone lineup. This new hardware, in combination with the software application PolyCam, was used to scan a variety of crashed vehicles. These crashed vehicles were also scanned using a FARO 3D scanners and Leica RTC 360 scanners, which have been researched extensively for their accuracy. The PolyCam scans were compared to FARO and Leica scans to determine accuracy for point location and scaling. Previous research has shown that user variability can be minimal (Technical Paper 2023-01-0614. Miller, Hashemian, Gillihan, Benes), so one user utilized the PolyCam application to document real-world crashed vehicles along with 3D scanners for comparative analysis. The authors found that the PolyCam software presented one data set with results similar to the previously researched software application Recon3D, but there were data sets that were less accurate. The authors believe these inconsistencies need to be evaluated further, but believe the accident reconstruction community, and other forensic disciplines, will continue to find accessibility and usability with PolyCam and other iPhone LiDAR applications that are available.</div></div>

Authors

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8692
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.68
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article

Accuracy of Mobile Phone LiDAR on Crashed Vehicles

Seth Miller, Michael Stogsdill, Seth McWhirter
1 citations
SAE technical papers on CD-ROM/SAE technical paper series
Autonomous Vehicle Technology and Safety
0.68
article

Accuracy of Mobile Phone LiDAR on Crashed Vehicles

Seth Miller, Michael Stogsdill, Seth McWhirter
article en
1 citations

Abstract

<div class="section abstract"><div class="htmlview paragraph">Apple’s mobile phone LiDAR capabilities can be used with multiple software applications to capture the geometry of vehicles and smaller objects. The results from different software have been previously researched and compared to traditional ground-based LiDAR. However, results were inconsistent across software applications, with some software being more accurate and others being less accurate. (Technical Paper 2023-01-0614. Miller, Hashemian, Gillihan, Benes.) This paper builds upon existing research by utilizing the updated LiDAR hardware that Apple has added to its iPhone 15 smartphone lineup. This new hardware, in combination with the software application PolyCam, was used to scan a variety of crashed vehicles. These crashed vehicles were also scanned using a FARO 3D scanners and Leica RTC 360 scanners, which have been researched extensively for their accuracy. The PolyCam scans were compared to FARO and Leica scans to determine accuracy for point location and scaling. Previous research has shown that user variability can be minimal (Technical Paper 2023-01-0614. Miller, Hashemian, Gillihan, Benes), so one user utilized the PolyCam application to document real-world crashed vehicles along with 3D scanners for comparative analysis. The authors found that the PolyCam software presented one data set with results similar to the previously researched software application Recon3D, but there were data sets that were less accurate. The authors believe these inconsistencies need to be evaluated further, but believe the accident reconstruction community, and other forensic disciplines, will continue to find accessibility and usability with PolyCam and other iPhone LiDAR applications that are available.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Openalex Percentile: Top 32%
Autonomous Vehicle Technology and Safety
0.68
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