GRCBox: Extending Smartphone Connectivity in Vehicular Networks

Proceedings of the 2nd Workshop on Experiences in the Design and Implementation of Smart Objects

Cano

et al. 2016

Self Cite

Researchers pertaining to both academia and industry have shown strong interest in developing and improving the existing critical ITS solutions. In some of the existing solutions, specially the ones that aim at providing context aware services, the knowledge of relative positioning of one node by other nodes becomes crucial. In this paper we explore, apart from the conventional use of GPS data, the applicability of image processing to aid in determining the relative positions of nodes in a vehicular network. Experiments conducted show that both the use of location information and image processing works well and can be deployed depending on the requirement of the application. Our experiments show that the results that used location information were affected by GPS errors, while the use of image processing, although producing more accurate results, require significantly more processing power.

Section: Methodsmentioning

confidence: 99%

Determining the relative position of vehicles considering bidirectional traffic scenarios in VANETS

Proceedings of the 2nd Workshop on Experiences in the Design and Implementation of Smart Objects

Cano

et al. 2016

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“…The interactions between GRCBox applications and the GCM rely on the RESTlet API exposed by the GCM. The details of this API are described in [21].…”

Section: B User Device-gcm Interactionmentioning

confidence: 99%

A novel On-Board Unit to accelerate the penetration of ITS services

Tornell

2016 13th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

et al. 2016

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Abstract-In-vehicle connectivity has experienced a big expansion in recent years. Car manufacturers have mainly proposed OBU-based solutions, but these solutions do not take full advantage of the opportunities of inter-vehicle peer-topeer communications. In this paper we introduce GRCBox, a novel architecture that allows OEM user-devices to directly communicate when located in neighboring vehicles. In this paper we also describe EYES, an application we developed to illustrate the type of novel applications that can be implemented on top of the GRCBox. EYES is an ITS overtaking-assistance system that provides the driver with real-time video fed from the vehicle located in front. Finally, we evaluated the GRCbox and the EYES application and showed that, for device-to-device communication, the performance of the GRCBox architecture is comparable to an infrastructure network, introducing a negligible impact.

“…So, for testing our application, we equipped cars with a GRCBox [19] inside them. GRCBox is a low cost connectivity device that allows the integration of smartphones into vehicular networks and is based on the Raspberry Pi.…”

Section: Deploymentmentioning

confidence: 99%

EYES: A Novel Overtaking Assistance System for Vehicular Networks

Arnanz

Ad-Hoc, Mobile, and Wireless Networks

et al. 2015

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Abstract. Developments in the ITS area are received with great expectation by both consumers and industry. Despite their huge potential benefits, ITS solutions suffer from the slow pace of adoption by manufacturers. In this paper we propose EYES, an ITS system that aims at helping drivers in overtaking. The system autonomously creates a network of the devices running EYES, and provides drivers with a video feed from the vehicle located just ahead, thus presenting a better view of any vehicles coming from the opposite direction and the road ahead. This is specially useful when the front view of the driver is blocked by large vehicles, and thus the decision whether to overtake can be taken based on the visuals provided by the application. We have validated EYES, the proposed overtaking assistance system, in both indoor and realistic scenarios involving vehicular network, and preliminary results allow being optimistic about its effectiveness and applicability.