Connected Vehicles: Towards Accident-Free Intersections

Abdelkader, Ghadeer; Elgazzar, Khalid

doi:10.1109/wf-iot48130.2020.9221470

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…These include striding advancements in hardware, software, sensor-enabled and wireless communications technologies. Therefore, moving towards a new era of connected intelligent transportation systems, where the demand for on-going and future real-time traffic data continues to rise (Abdelkader and Elgazzar, 2020). This enforces several challenging requirements on the traffic information systems.…”

Section: Intelligent Transportationmentioning

confidence: 99%

Revisiting the internet of things: New trends, opportunities and grand challenges

Elgazzar

Khalil

Alghamdi

et al. 2022

Front. Internet Things

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Section: Intelligent Transportationmentioning

confidence: 99%

Revisiting the internet of things: New trends, opportunities and grand challenges

Elgazzar

Khalil

Alghamdi

et al. 2022

Front. Internet Things

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“…More than half of all deaths are among vulnerable road participants: cyclists, motorcyclists, and pedestrians [ 1 ]. Intersection collisions account for over 40% of total traffic accidents, which not only seriously threaten people’s lives, but also cause severe traffic congestion [ 2 ]. Research has shown that over 60% of these collisions can be avoided if drivers receive a warning just half a second in advance [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Robust Target Detection and Tracking Algorithm Based on Roadside Radar and Camera

Bai

Zhang

et al. 2021

Sensors

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Intelligent transportation systems (ITSs) play an increasingly important role in traffic management and traffic safety. Smart cameras are the most widely used sensors in ITSs. However, cameras suffer from a reduction in detection and positioning accuracy due to target occlusion and external environmental interference, which has become a bottleneck restricting ITS development. This work designs a stable perception system based on a millimeter-wave radar and camera to address these problems. Radar has better ranging accuracy and weather robustness, which is a better complement to camera perception. Based on an improved Gaussian mixture probability hypothesis density (GM-PHD) filter, we also propose an optimal attribute fusion algorithm for target detection and tracking. The algorithm selects the sensors’ optimal measurement attributes to improve the localization accuracy while introducing an adaptive attenuation function and loss tags to ensure the continuity of the target trajectory. The verification experiments of the algorithm and the perception system demonstrate that our scheme can steadily output the classification and high-precision localization information of the target. The proposed framework could guide the design of safer and more efficient ITSs with low costs.

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Novel Model for the Efficient Vehicle Movement in Vehicular Ad hoc Network Based IOT

Gupta

Kapoor

2022

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)

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Connected Vehicles: Towards Accident-Free Intersections

Cited by 5 publications

References 6 publications

Revisiting the internet of things: New trends, opportunities and grand challenges

Revisiting the internet of things: New trends, opportunities and grand challenges

Robust Target Detection and Tracking Algorithm Based on Roadside Radar and Camera

Novel Model for the Efficient Vehicle Movement in Vehicular Ad hoc Network Based IOT

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