Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles

Future driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser...

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Main Author: Fabian de Ponte Müller
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/17/2/271
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spelling doaj-0cbd2e4b3f354e25b96ba2361baa59ae2020-11-25T01:41:05ZengMDPI AGSensors1424-82202017-01-0117227110.3390/s17020271s17020271Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of VehiclesFabian de Ponte Müller0German Aerospace Center (DLR), Institute of Communications and Navigation, 82234Wessling, GermanyFuture driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser scanners or vision-based systems are able to detect objects in their line-of-sight. In contrast to these non-cooperative ranging sensors, cooperative approaches follow a strategy in which other road participants actively support the estimation of the relative position. The limitations of on-board ranging sensors regarding their detection range and angle of view and the facility of blockage can be approached by using a cooperative approach based on vehicle-to-vehicle communication. The fusion of both, cooperative and non-cooperative strategies, seems to offer the largest benefits regarding accuracy, availability and robustness. This survey offers the reader a comprehensive review on different techniques for vehicle relative positioning. The reader will learn the important performance indicators when it comes to relative positioning of vehicles, the different technologies that are both commercially available and currently under research, their expected performance and their intrinsic limitations. Moreover, the latest research in the area of vision-based systems for vehicle detection, as well as the latest work on GNSS-based vehicle localization and vehicular communication for relative positioning of vehicles, are reviewed. The survey also includes the research work on the fusion of cooperative and non-cooperative approaches to increase the reliability and the availability.http://www.mdpi.com/1424-8220/17/2/271vehicle sensorslaser scannerGNSScooperativevehicle-to-vehiclerelative positioninglocalization
collection DOAJ
language English
format Article
sources DOAJ
author Fabian de Ponte Müller
spellingShingle Fabian de Ponte Müller
Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
Sensors
vehicle sensors
laser scanner
GNSS
cooperative
vehicle-to-vehicle
relative positioning
localization
author_facet Fabian de Ponte Müller
author_sort Fabian de Ponte Müller
title Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
title_short Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
title_full Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
title_fullStr Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
title_full_unstemmed Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
title_sort survey on ranging sensors and cooperative techniques for relative positioning of vehicles
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-01-01
description Future driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser scanners or vision-based systems are able to detect objects in their line-of-sight. In contrast to these non-cooperative ranging sensors, cooperative approaches follow a strategy in which other road participants actively support the estimation of the relative position. The limitations of on-board ranging sensors regarding their detection range and angle of view and the facility of blockage can be approached by using a cooperative approach based on vehicle-to-vehicle communication. The fusion of both, cooperative and non-cooperative strategies, seems to offer the largest benefits regarding accuracy, availability and robustness. This survey offers the reader a comprehensive review on different techniques for vehicle relative positioning. The reader will learn the important performance indicators when it comes to relative positioning of vehicles, the different technologies that are both commercially available and currently under research, their expected performance and their intrinsic limitations. Moreover, the latest research in the area of vision-based systems for vehicle detection, as well as the latest work on GNSS-based vehicle localization and vehicular communication for relative positioning of vehicles, are reviewed. The survey also includes the research work on the fusion of cooperative and non-cooperative approaches to increase the reliability and the availability.
topic vehicle sensors
laser scanner
GNSS
cooperative
vehicle-to-vehicle
relative positioning
localization
url http://www.mdpi.com/1424-8220/17/2/271
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