Approaching Rutted Road-Segment Alert using Smartphone

AbdulQawy, Asmaa; Elkhouly, Reem; Sallam, Elsayed A.

doi:10.1109/icces.2018.8639363

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…Equation (1) shows that the accuracy is dependent on the term d t /d c , which is the ratio of the length of the driving vector of the vehicle behind and the distance between the two vehicles. To get general idea of accuracy expected from the same lane test, we collected some location data with a Motorola Moto G-3 device which is summarised in table 1.…”

Section: Same Lane Testmentioning

confidence: 99%

“…To get general idea of accuracy expected from the same lane test, we collected some location data with a Motorola Moto G-3 device which is summarised in table 1. Values obtained were plugged in to equation (1) for different ratios of d t /d c , the results obtained are presented in fig. 4.…”

Section: Same Lane Testmentioning

confidence: 99%

“…Finally, [22] is an interesting work where the authors have developed an early recognition system that is able to determine inattentive driving event before their completion from audio signals. Another important factor that can affect passenger safety is road condition, which was studied extensively by El-Wakeel et al [6], Kataoka et al [9], and AbdulQawy et al [1]. These works use crowdsensing to acquire data which is later classified, this information can be later used to generate alerts when a vehicle approaches an affected area.…”

Section: Introductionmentioning

confidence: 99%

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Detecting Vehicles’ Relative Position on Two-Lane Highways Through a Smartphone-Based Video Overtaking Aid Application

et al. 2020

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Here we present a smartphone-based realtime video overtaking aid for vehicular networks. The developed application aims to prevent head-on collisions that might occur due to attempts to overtake when the view of the driver is obstructed by the presence of a larger vehicle ahead. In such cases, the driver does not have a clear view of the road ahead and of any vehicles ahead that might be coming from the opposite direction, resulting in a high probability of accident occurrence. Our application relies on the use of dashboard mounted smartphones with the back camera facing the windshield and the screen towards the driver. A video is streamed from the vehicle ahead to the vehicle behind automatically, where it is displayed so that the driver can decide if it is safe to overtake. One of the major challenges is the way to elect the video source and destination among the vehicles in close proximity, depending on their relative position on road. For this purpose, we have focused on two different methods: the first relying solely on GPS data, which is faster but prone to errors due to GPS inaccuracies; the second method involving use of the camera and vehicle heading information, is accurate over short distances but is more computationally intensive.

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Section: Same Lane Testmentioning

confidence: 99%

Section: Same Lane Testmentioning

confidence: 99%