Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning

Many modern vehicles collect inter-vehicle distance data from radar sensors as input to driver assistance systems. However, vehicle manufacturers often use proprietary algorithms to conceal the collected data, making them inaccessible to external individuals, such as researchers. Aftermarket sensors...

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Main Authors: Markus Metallinos Log, Thomas Thoresen, Maren H. R. Eitrheim, Tomas Levin, Trude Tørset
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied System Innovation
Subjects:
Online Access:https://www.mdpi.com/2571-5577/6/3/55
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author Markus Metallinos Log
Thomas Thoresen
Maren H. R. Eitrheim
Tomas Levin
Trude Tørset
author_facet Markus Metallinos Log
Thomas Thoresen
Maren H. R. Eitrheim
Tomas Levin
Trude Tørset
author_sort Markus Metallinos Log
collection DOAJ
description Many modern vehicles collect inter-vehicle distance data from radar sensors as input to driver assistance systems. However, vehicle manufacturers often use proprietary algorithms to conceal the collected data, making them inaccessible to external individuals, such as researchers. Aftermarket sensors may circumvent this issue. This study investigated the use of low-cost radar sensors to determine inter-vehicle distances during real-world semi-automated truck platooning on two-way, two-lane rural roads. Radar data from the two follower trucks in a three-truck platoon were collected, synchronized and filtered. The sensors measured distance, relative velocity and signal-to-noise ratio. Dashboard camera footage was collected, coded and synchronized to the radar data, providing context about the driving situation, such as oncoming trucks, roundabouts and tunnels. The sensors had different configuration parameters, suggested by the supplier, to avoid signal interference. With parameters as chosen, sensor ranges, inferred from maximum distance measurements, were approximately 74 and 71 m. These values were almost on par with theoretical calculations. The sensors captured the preceding truck for 83–85% of the time where they had the preceding truck within range, and 95–96% of the time in tunnels. While roundabouts are problematic, the sensors are feasible for collecting inter-vehicle distance data during truck platooning.
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spelling doaj.art-ad9549a402834562842f99e458cd7bb62023-11-18T09:13:26ZengMDPI AGApplied System Innovation2571-55772023-05-01635510.3390/asi6030055Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck PlatooningMarkus Metallinos Log0Thomas Thoresen1Maren H. R. Eitrheim2Tomas Levin3Trude Tørset4Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, NorwayResearch Division Strategic Analyses and Joint Systems, Norwegian Defence Research Establishment (FFI), NO-2027 Kjeller, NorwayDepartment of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, NorwayNorwegian Public Roads Administration (NPRA), NO-7031 Trondheim, NorwayDepartment of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, NorwayMany modern vehicles collect inter-vehicle distance data from radar sensors as input to driver assistance systems. However, vehicle manufacturers often use proprietary algorithms to conceal the collected data, making them inaccessible to external individuals, such as researchers. Aftermarket sensors may circumvent this issue. This study investigated the use of low-cost radar sensors to determine inter-vehicle distances during real-world semi-automated truck platooning on two-way, two-lane rural roads. Radar data from the two follower trucks in a three-truck platoon were collected, synchronized and filtered. The sensors measured distance, relative velocity and signal-to-noise ratio. Dashboard camera footage was collected, coded and synchronized to the radar data, providing context about the driving situation, such as oncoming trucks, roundabouts and tunnels. The sensors had different configuration parameters, suggested by the supplier, to avoid signal interference. With parameters as chosen, sensor ranges, inferred from maximum distance measurements, were approximately 74 and 71 m. These values were almost on par with theoretical calculations. The sensors captured the preceding truck for 83–85% of the time where they had the preceding truck within range, and 95–96% of the time in tunnels. While roundabouts are problematic, the sensors are feasible for collecting inter-vehicle distance data during truck platooning.https://www.mdpi.com/2571-5577/6/3/55inter-vehicle distance measurementsradar sensoraction camerafield studyautomated truck platooningrural road
spellingShingle Markus Metallinos Log
Thomas Thoresen
Maren H. R. Eitrheim
Tomas Levin
Trude Tørset
Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
Applied System Innovation
inter-vehicle distance measurements
radar sensor
action camera
field study
automated truck platooning
rural road
title Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
title_full Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
title_fullStr Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
title_full_unstemmed Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
title_short Using Low-Cost Radar Sensors and Action Cameras to Measure Inter-Vehicle Distances in Real-World Truck Platooning
title_sort using low cost radar sensors and action cameras to measure inter vehicle distances in real world truck platooning
topic inter-vehicle distance measurements
radar sensor
action camera
field study
automated truck platooning
rural road
url https://www.mdpi.com/2571-5577/6/3/55
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