A Localization Algorithm Based on V2I Communications and AOA Estimation

Fascista, Alessio; Ciccarese, Giovanni; Coluccia, Angelo; Ricci, Giuseppe

doi:10.1109/lsp.2016.2639098

Cited by 65 publications

(30 citation statements)

References 15 publications

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“…Therefore, the authors suggest a hybrid technique utilising TDOA and AOA techniques would be optimal for V2I applications. In contrast, [62] proposed a localisation technique based on AOA estimation. In the proposed system beacon packets from a RSU were used to combine the AOA of the signal and the location of the RSU broadcasted in the signal into a least squares algorithm to localise the vehicle.…”

Section: Cooperative Localisation Techniquesmentioning

confidence: 99%

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

Kuutti

Fallah

Κατσαρός

et al. 2018

IEEE Internet Things J.

642

284

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For an autonomous vehicle to operate safely and effectively, an accurate and robust localisation system is essential. While there are a variety of vehicle localisation techniques in literature, there is a lack of effort in comparing these techniques and identifying their potentials and limitations for autonomous vehicle applications. Hence, this paper evaluates the state-of-the-art vehicle localisation techniques and investigates their applicability on autonomous vehicles. The analysis starts with discussing the techniques which merely use the information obtained from on-board vehicle sensors. It is shown that although some techniques can achieve the accuracy required for autonomous driving but suffer from the high cost of the sensors and also sensor performance limitations in different driving scenarios (e.g. cornering, intersections) and different environmental conditions (e.g. darkness, snow). The paper continues the analysis with considering the techniques which benefit from off-board information obtained from V2X communication channels, in addition to vehicle sensory information. The analysis shows that augmenting off-board information to sensory information has potential to design low-cost localisation systems with high accuracy and robustness however their performance depends on penetration rate of nearby connected vehicles or infrastructure and the quality of network service.

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Section: Cooperative Localisation Techniquesmentioning

confidence: 99%

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

Kuutti

Fallah

Κατσαρός

et al. 2018

IEEE Internet Things J.

642

284

View full text Add to dashboard Cite

show abstract

“…Arrival angles of RSU beacons were used for wireless ranging in [52]. The AoA of the beacons were obtained using a ULA located on a tracked vehicle.…”

Section: Gnss-free Wi-fi Localization Systemsmentioning

confidence: 99%

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

Adegoke

Zidane

Kampert

et al. 2019

Vehicular Communications

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“…Attention is devoted to high precision positioning [110,111] for quality of applications enhancements and cooperative transmission [112][113][114] to improve channel allocation and resource management in network infrastructure such as base stations and relays. Heterogeneous vehicular networks are also considered [115], where heterogeneity may be in wireless access technologies [116], vertical handovers [117], architectures, and autonomous driving [118].…”

Section: Overview Of the Research In Infrastructure-based Vehicular Nmentioning

confidence: 99%

A Survey on Infrastructure-Based Vehicular Networks

Silva¹,

Masini²,

Ferrari³

et al. 2017

Mobile Information Systems

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The infrastructure of vehicular networks plays a major role in realizing the full potential of vehicular communications. More and more vehicles are connected to the Internet and to each other, driving new technological transformations in a multidisciplinary way. Researchers in automotive/telecom industries and academia are joining their effort to provide their visions and solutions to increasingly complex transportation systems, also envisioning a myriad of applications to improve the driving experience and the mobility. These trends pose significant challenges to the communication systems: low latency, higher throughput, and increased reliability have to be granted by the wireless access technologies and by a suitable (possibly dedicated) infrastructure. This paper presents an in-depth survey of more than ten years of research on infrastructures, wireless access technologies and techniques, and deployment that make vehicular connectivity available. In addition, we identify the limitations of present technologies and infrastructures and the challenges associated with such infrastructure-based vehicular communications, also highlighting potential solutions.

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A Localization Algorithm Based on V2I Communications and AOA Estimation

Cited by 65 publications

References 15 publications

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

Infrastructure Wi-Fi for connected autonomous vehicle positioning: A review of the state-of-the-art

A Survey on Infrastructure-Based Vehicular Networks

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