Compensation Algorithm Development in Platform for Pedestrian ADAS Testing

<div class="section abstract"><div class="htmlview paragraph">Test procedures such as EuroNCAP, NHTSA’s FMVSS 127, and UNECE 152 all require specific pedestrian to vehicle overlaps. These overlap variations allow the vehicle differing amounts of time to respond to the pedestrian’s presence. In this work, a compensation algorithm was developed to be used with the STRIDE robot for Pedestrian Automatic Emergency Braking tests. The compensation algorithm uses information about the robot and vehicle speeds and positions determine whether the robot needs to move faster or slower in order to properly overlap the vehicle. In addition to presenting the algorithm, tests were performed which demonstrate the function of the compensation algorithm. These tests include repeatability, overlap testing, vehicle speed variation, and abort logic tests. For these tests of the robot involving vehicle data, a method of replaying vehicle data via UDP was used to provide the same vehicle stimulus to the robot during every trial without a robotic driver in the vehicle.</div></div>

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Publication Details

Journal
SAE International Journal of Advances and Current Practices in Mobility
Published
2025-03-31
DOI
https://doi.org/10.4271/2025-01-8066
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Compensation Algorithm Development in Platform for Pedestrian ADAS Testing

An Nguyen, Meredith Bartholomew, Nicholas Helber, Gary J. Heydinger
SAE International Journal of Advances and Current Practices in Mobility
Vehicle Dynamics and Control Systems
article

Compensation Algorithm Development in Platform for Pedestrian ADAS Testing

An Nguyen, Meredith Bartholomew, Nicholas Helber, Gary J. Heydinger
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Test procedures such as EuroNCAP, NHTSA’s FMVSS 127, and UNECE 152 all require specific pedestrian to vehicle overlaps. These overlap variations allow the vehicle differing amounts of time to respond to the pedestrian’s presence. In this work, a compensation algorithm was developed to be used with the STRIDE robot for Pedestrian Automatic Emergency Braking tests. The compensation algorithm uses information about the robot and vehicle speeds and positions determine whether the robot needs to move faster or slower in order to properly overlap the vehicle. In addition to presenting the algorithm, tests were performed which demonstrate the function of the compensation algorithm. These tests include repeatability, overlap testing, vehicle speed variation, and abort logic tests. For these tests of the robot involving vehicle data, a method of replaying vehicle data via UDP was used to provide the same vehicle stimulus to the robot during every trial without a robotic driver in the vehicle.</div></div>

SAE International Journal of Advances and Current Practices in MobilityVol. 07(5)
Systems Engineering and Assessment (United Kingdom) (GB)
Openalex Percentile: Top 94%
Vehicle Dynamics and Control Systems
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Compensation Algorithm Development in Platform for Pedestrian ADAS Testing — An Nguyen, Meredith Bartholomew, et al. · SAE International Journal of Advances and Current Practices in Mobility (2025) | TGRS Research Map | TGRS