Vision-based driverless car in the condition of limited computing resource: Perspectives from a student competition

Nguyen, Khanh; Nguyen, Long D.; Le, Son Hai; Le, Thu Van; Nguyen, Van-Giang

doi:10.1109/iesys.2017.8233563

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…A rapid lane detection algorithm was proposed based on machine vision, which is accurate and robust under different conditions, such as lane line missing and obstacle appearance in the track [5]. However, many vision-based research challenges have not yet been solved, such as the low-definition image clarity and poor visibility in rainy, hazy weather and night conditions [6].…”

Section: Introductionmentioning

confidence: 99%

Cooperative V2X for High Definition Map Transmission Based on Vehicle Mobility

Wang

Guan

Zhao

et al. 2019

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)

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High-definition (HD) map transmission is considered as a key technology for automatic driving, which enables vehicles to obtain the precise road and surrounding environment information for further localization and navigation. Guaranteeing the huge requirement of HD map data, the objective of this paper is to reduce the power consumption of vehicular networks. By leveraging the mobile rule of vehicles, a collaborative vehicle to everything (V2X) transmission scheme is proposed for the HD map transmission. Numerical results indicate that the proposed scheme can satisfy the transmission rate requirement of HD map with low power consumption.

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Section: Introductionmentioning

confidence: 99%