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Smooth Transition of Vehicles' Maximum Speed for Lane Detection based on Computer Vision

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conference contribution
posted on 2023-11-29, 18:23 authored by Ghaeini Hamid Reza, Tippenhauer Nils Ole
This paper presents a prototype electric scooter designed to detect the driving lane via computer vision and automatically set the vehicular configuration. The electric scooter can drive on the pedestrian, bicycle, or car lanes. The government enforces maximum speeds on each lane for the electric scooter. Our prototype scooter would apply those regulations securely, with the help of a computer vision component. However, the safety of such a system is still part of the concern and research is going on the security and safety aspects of such vehicular systems. The maximum speed changes while the driver is riding the vehicle at the fastest possible speed could cause a safety hazard. To prevent that, we proposed to use the logarithmic speed reduction or acceleration. The results show that such an algorithm will smooth the transition between the maximum of the vehicle.

History

Preferred Citation

Ghaeini Reza and Tippenhauer Ole. Smooth Transition of Vehicles' Maximum Speed for Lane Detection based on Computer Vision. In: IEEE Vehicular Technology Conference (VTC). 2022.

Primary Research Area

  • Secure Connected and Mobile Systems

Name of Conference

IEEE Vehicular Technology Conference (VTC)

Legacy Posted Date

2022-10-13

Open Access Type

  • Unknown

BibTeX

@inproceedings{cispa_all_3829, title = "Smooth Transition of Vehicles' Maximum Speed for Lane Detection based on Computer Vision", author = "Reza, Ghaeini Hamid and Ole, Tippenhauer Nils", booktitle="{IEEE Vehicular Technology Conference (VTC)}", year="2022", }

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