Differential benefit of sensor system field-of-view and range in pedestrian automated emergency braking systems
AbstractObjectiveCurrent Pedestrian Automatic Emergency Braking (P-AEB) systems often use a combination of radar and cameras to detect pedestrians and automatically apply braking to prevent or mitigate an impending collision. However, these current sensor systems might have a restricted field-of-view (FOV) which may not detect all pedestrians. Advanced sensors like LiDAR can have a wider FOV that may substantially help improve detection. The objective of this study was to determine the influence of FOV and range on the effectiveness of P-AEB systems to determine the potential benefit of advanced sensors.MethodsThis study utilized vehicle-pedestrian crashes from the Pedestrian Crash Data Study (PCDS) to calculate pre-crash pedestrian and vehicle trajectories. A computational model was then applied to simulate the crash with a hypothetical P-AEB system. The model was designed to be able to vary the system’s field-of-view (FOV), range, time-to-collision of activation, and system latency. In this study we estimated how the FOV and range of advanced sensors could affect P-AEB system effectiveness at avoiding crashes and reducing impact speed. Sensor range was varied from 25?-?100?m and sensor FOV was varied from ±10° to ±90°.ResultsSensors simulated with a range of 50?m or greater performed only approximately 1% better than with a 25?m range. Field-of-view had a larger effect on estimated system avoidance capabilities with a?±?10° FOV sensor estimated to avoid 46-47% of collisions compared to 91-92% for a?±?90° FOV sensor. The system was able to avoid a greater percentage of cases in which the vehicle was traveling straight at sensor FOVs of ±30° and below. Among the unavoided crashes with a sensor FOV of ±90°, the average impact velocity using a 100?m range sensor was 7.4?m/s which was 3.1?m/s lower than a 25?m range sensor.ConclusionsSensor ranges above 25?m were not found to significantly affect estimated crash avoidance potential, but had a small effect on impact mitigation. Sensor FOV had a larger effect on crash avoidance up to a FOV of ±60° with little additional benefit at larger FOVs.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/49192340
-
Supplemental Notes:
- © 2021 Taylor & Francis Group, LLC 2021. Abstract reprinted with permission of Taylor & Francis.
-
Authors:
- Haus, Samantha H.
- Sherony, Rini
- Gabler, Hampton C.
- Publication Date: 2021-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp S111-S115
-
Serial:
- Traffic Injury Prevention
- Volume: 22
- Issue Number: sup1
- Publisher: Taylor & Francis
- ISSN: 1538-9588
- Serial URL: http://www.tandf.co.uk/journals/titles/15389588.html
Subject/Index Terms
- TRT Terms: Automatic braking; Crash avoidance systems; Emergency brakes; Field of vision; In vehicle sensors; Pedestrian vehicle interface
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01836248
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 22 2022 10:28AM