27172

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

The Use of Automotive Radars in Video-Based Overtaking Assistance Applications

ISBN/ISSN: 

ISSN 1524-9050

Наименование источника: 

  • IEEE Transactions on Intelligent Transportation Systems

Обозначение и номер тома: 

Volume:14, Issue:3

Город: 

  • Tucson

Издательство: 

  • IEEE Intelligent Transportation Systems Society

Год издания: 

2013

Страницы: 

1035 - 1042
Аннотация
Overtaking on rural roads may cause severe accidents when oncoming traffic is detected by a driver too late, or its speed is underestimated. Recently proposed cooperative overtaking assistance systems are based on real-time video transmission, where a video stream captured with a camera installed at the windshield of a vehicle is compressed, broadcast through the wireless channel, and displayed to the drivers of vehicles driving behind. In such a system, it is of ultimate importance to deliver video information about the opposite lane with low end-to-end latency and good visual quality. In this paper, we propose reallocating the wireless channel resources in favor of the part of the captured video frame containing the image of the oncoming vehicle. To achieve this goal, we apply automotive radar for oncoming vehicle detection, and we use the image of this vehicle as a region-of-interest (ROI) for the video rate control. We present the theoretical framework, which describes the basics of such an approach and can serve as a useful guideline for the future practical implementation of the overtaking assistance systems. The benefits of our proposal are demonstrated in relation to the practical scenario of H.264/Advance Video Coding (AVC), IEEE 802.11p/Wireless Access for Vehicular Environments (WAVE) intervehicle communication standards, and currently used automotive radars.

Библиографическая ссылка: 

Винель А.В., Беляев Е.А., Molchanov P.O., Кучерявый Е.А. The Use of Automotive Radars in Video-Based Overtaking Assistance Applications // IEEE Transactions on Intelligent Transportation Systems. 2013. Volume:14, Issue:3 . С. 1035 - 1042.