Using Vehicle Kinematics to Enhance Situational Awareness

<div class="section abstract"><div class="htmlview paragraph">Armored vehicles offer limited view to the driver and crew. Two-dimensional vision-based situational awareness (SA) systems provide the driver a view of the area around the vehicle. The addition of distance to objects can offer a more comprehensive understanding of the surroundings assisting the driver with the locations of obstacles and rollover hazards. Methods currently available or under development for depth perception have issues limiting their utility in the field.. Some interfere with crew operations, others are are too costly, are not covert or require excessive processing. We offer a low-cost and computationally efficient approach called Kinetically Enhanced Situational Awareness (KESA) that derives distance to objects using existing SA sensors and processors combined with a knowledge of vehicle kinematics. We demonstrate how range can be used to enhance and supplement AI based driver assistance and threat warnings.</div></div>

Authors

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-09-16
DOI
https://doi.org/10.4271/2025-01-0477
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Vehicle Kinematics to Enhance Situational Awareness

Robert A. Pilgrim, David R. Brown
SAE technical papers on CD-ROM/SAE technical paper series
Autonomous Vehicle Technology and Safety
article

Using Vehicle Kinematics to Enhance Situational Awareness

Robert A. Pilgrim, David R. Brown
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Armored vehicles offer limited view to the driver and crew. Two-dimensional vision-based situational awareness (SA) systems provide the driver a view of the area around the vehicle. The addition of distance to objects can offer a more comprehensive understanding of the surroundings assisting the driver with the locations of obstacles and rollover hazards. Methods currently available or under development for depth perception have issues limiting their utility in the field.. Some interfere with crew operations, others are are too costly, are not covert or require excessive processing. We offer a low-cost and computationally efficient approach called Kinetically Enhanced Situational Awareness (KESA) that derives distance to objects using existing SA sensors and processors combined with a knowledge of vehicle kinematics. We demonstrate how range can be used to enhance and supplement AI based driver assistance and threat warnings.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Openalex Percentile: Top 72%
Autonomous Vehicle Technology and Safety
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