Detection of Optical Road Markings With Automotive Radar Sensors

被引：2

作者：

Grebner, Timo ^{[1
]}

Torres, Lizette Lorraine Tovar ^{[1
]}

Janoudi, Vinzenz ^{[1
]}

Schoeder, Pirmin ^{[1
]}

Waldschmidt, Christian ^{[1
]}

机构：

[1] Ulm Univ, Inst Microwave Engn, D-89081 Ulm, Germany

来源：

IEEE SENSORS LETTERS | 2023年 / 7卷 / 08期

关键词：

Microwave/millimeter wave sensors; autonomous driving; frequency modulated continuous waveform (FMCW); lane detection; radar networks; radar systems; road marking; synthetic aperture radar (SAR);

D O I：

10.1109/LSENS.2023.3300825

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Accurate environmental representations play a crucial role in trajectory planning for autonomous driving. In addition to localizing road users, obstacles, and road boundaries, the identification of optical road markings is vital for lane recognition. While optical systems, such as cameras and lidar sensors, are commonly employed for this task, they are susceptible to weather conditions. This letter introduces a novel approach that utilizes automotive chirp-sequence radar sensors exclusively for the detection of conventional road markings. This eliminates the need for additional particles or substances to be applied to the road markings, as demonstrated through an indicative analysis based on real-world measurements in public traffic.

引用

页数：4