A smartphone application to extract safety and environmental related information from the OBD-II interface of a car

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

et al. 2016

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.

Section: State Of the Artmentioning

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

“…Few other applications used the On Board Diagnostics (OBD-II) [6] interface to detect incidents, like in the work of Zaldivar et al [7] which aimed at detecting accidents. Wideberg et al [8] also made use of OBD-II devices to extract safety and environment related information.…”

Section: State Of the Artmentioning

confidence: 99%

EYES: A Novel Overtaking Assistance System for Vehicular Networks

Arnanz

Ad-Hoc, Mobile, and Wireless Networks

et al. 2015

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.

“…Few other applications used the On Board Diagnostics (OBD-II) [9] interface to detect incidents, like in the work of Zaldivar et al [10] which aimed at detecting accidents. Wideberg et al [11] also made use of OBD-II devices to extract safety and environment related information.…”

Section: Related Workmentioning

confidence: 99%

An ITS solution providing real-time visual overtaking assistance using smartphones

2015 IEEE 40th Conference on Local Computer Networks (LCN)

Cano

et al. 2015

Abstract-ITS solutions suffer from the slow pace of adoption by manufacturers despite the interest shown by both consumers and industry. Our goal is to develop ITS applications using already available technologies to make them affordable, quick to deploy, and easy to adopt. In this paper we introduce an ITS system for overtaking assistance that provides drivers with a real-time video feed from the vehicle located just in front. This provides a better view of the road ahead, and of any vehicles travelling in the opposite direction, being especially useful when the front view of the driver is blocked by large vehicles. We evaluated our application using H.264 and MJPEG video encoding formats, and determined the most effective codec choice for our case. Experimental results allow us to be optimistic about the effectiveness and applicability of smartphones in providing overtaking assistance based on video streaming in vehicular networks.