A Novel Mechanism for Lane Detection

被引：0
|
作者：
Chen, Qingjian [1 ]
Hong, Tao [1 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
来源：
2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年
关键词：
FMCW; Zoom-FFT; Stationary Targets; Angle Glint; Probability Density Function;
D O I：
暂无
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：
This paper presents a novel mechanism to improve accuracy of lane boundary measurement based on a 24GHz FMCW Radar. The traditional algorithm based on the vehicle position PDF (Probability Density Function) is adopted in specific installation and traffic condition, the novel mechanism makes it suitable and reliable in complex condition. In this mechanism, two receiving antennas and Zoom-FFT are used to improve the measuring accuracy. Moreover, a proposed approach is adopted to eliminate the influences from metal obstacles. The result shows that this mechanism makes it more accurate to identify boundaries based on PDF algorithm.
引用
收藏
页码：1755 / 1758
页数：4
相关论文
共 50 条
  • [11] A Novel Lane Detection Approach Fusion by Vehicle Localization
    Wang, Chenhao
    Hu, Zhencheng
    Uchimura, Keiichi
    2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011), 2011, : 1218 - 1223
  • [12] A Novel Illumination-Invariant Lane Detection System
    Kortli, Yassin
    Marzougui, Mehrez
    Bouallegue, Belgacem
    Bose, J. Subash Chandra
    Rodrigues, Paul
    Atri, Mohamed
    2017 2ND INTERNATIONAL CONFERENCE ON ANTI-CYBER CRIMES (ICACC), 2017, : 166 - 171
  • [13] FLAMNet: A Flexible Line Anchor Mechanism Network for Lane Detection
    Ran, Hao
    Yin, Yunfei
    Huang, Faliang
    Bao, Xianjian
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (11) : 12767 - 12778
  • [14] Lane line detection based on the codec structure of the attention mechanism
    Qinghua Zhao
    Qi Peng
    Yiqi Zhuang
    Journal of Real-Time Image Processing, 2022, 19 : 715 - 726
  • [15] Lane line detection based on the codec structure of the attention mechanism
    Zhao, Qinghua
    Peng, Qi
    Zhuang, Yiqi
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2022, 19 (04) : 715 - 726
  • [16] Incorporating Self Attention Mechanism into Semantic Segmentation for Lane Detection
    Yuan, Genji
    Li, Jianbo
    Wang, Yue
    Meng, Xianglong
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2022), PT II, 2022, 13472 : 441 - 449
  • [17] Study on the multi-lane lattice model for highways based on a novel lane-changing mechanism
    Kang, Yi-rong
    Tian, Chuan
    HELIYON, 2024, 10 (12)
  • [18] An Efficient Lane Detection Algorithm For Lane Departure Detection
    Jung, Heechul
    Min, Junggon
    Kim, Junmo
    2013 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2013, : 976 - 981
  • [19] Novel Approach to Lane and Path Detection in Unmanned Ground Vehicles
    Chandan, B.
    Sadhu, Chetan
    Ganesh, Madan Ravi
    Sanket, Nitin J.
    2013 INTERNATIONAL CONFERENCE ON ADVANCES IN TECHNOLOGY AND ENGINEERING (ICATE), 2013,
  • [20] A Novel Lane Detection System With Efficient Ground Truth Generation
    Borkar, Amol
    Hayes, Monson
    Smith, Mark T.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (01) : 365 - 374
12345