A vision-aided RTK ambiguity resolution method by map lane matching for intelligent vehicle in urban environment

被引:1
作者
Zhang, Hongjuan [1 ,2 ]
Qian, Chuang [3 ]
Li, Wenzhuo [1 ,4 ]
Li, Bijun [1 ,2 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China
[2] Wuhan Univ, Engn Res Ctr Spatiotemporal Data Smart Acquisit &, Minist Educ China, Wuhan, Peoples R China
[3] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Peoples R China
[4] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
GNSS RTK; ambiguity resolution; GNSS/INS/Vision integration; map lane matching; SINGLE-FREQUENCY; MULTI-GNSS; DUAL-FREQUENCY; CYCLE SLIP; INS; LOCALIZATION; INTEGRATION;
D O I
10.1080/17538947.2024.2383479
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Despite the high-precision performance of GNSS real-time kinematic (RTK) in many cases, harsh signal environments still lead to ambiguity-fixed failure and worse positioning results in kinematic localization. Intelligent vehicles are equipped with cameras for perception. Visual measurements can add new information to satellite measurements, thus improving integer ambiguity resolution (AR). Given road lane lines are stationary and their accurate positions can be previously acquired, we encode the lane lines with rectangles and integrate them into a commonly used map format. Considering the ambiguous and repetitive land lines, a map-based ambiguous lane matching method is proposed to find all possible rectangles where a vehicle may locate. And a vision-based relative positioning is then applied by measuring the relative position between the lane line corner and the vehicle. Finally, the two results are introduced into RTK single-epoch AR to find the most accurate ambiguity estimations. To extensively evaluate our method, we compare it with a tightly integrated system of GNSS/INS (GINS) and a well-known tightly coupled GNSS-Visual-Inertial fusion system (GVINS) in simulated urban environments and a real dense urban environment. Experimental results prove the superiority of our method over GINS and GVINS in success rates, fixed rates and pose accuracy.
引用
收藏
页数:23
相关论文
共 42 条
  • [1] Bender P, 2014, IEEE INT VEH SYM, P420, DOI 10.1109/IVS.2014.6856487
  • [2] AN AUTOMATIC EDITING ALGORITHM FOR GPS DATA
    BLEWITT, G
    [J]. GEOPHYSICAL RESEARCH LETTERS, 1990, 17 (03) : 199 - 202
  • [3] GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation
    Cao, Shaozu
    Lu, Xiuyuan
    Shen, Shaojie
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2022, 38 (04) : 2004 - 2021
  • [4] Carcanague S, 2012, I NAVIG SAT DIV INT, P1136
  • [5] Real-time cycle slip detection in triple-frequency GNSS
    Clara de Lacy, Maria
    Reguzzoni, Mirko
    Sanso, Fernando
    [J]. GPS SOLUTIONS, 2012, 16 (03) : 353 - 362
  • [6] Investigation of Tightly Combined Single-Frequency and Single-Epoch Precise Positioning Using Multi-GNSS Data
    Deng, Chenlong
    Liu, Qian
    Zou, Xuan
    Tang, Weiming
    Cui, Jianhui
    Wang, Yawei
    Guo, Chi
    [J]. REMOTE SENSING, 2020, 12 (02)
  • [7] El-Sheimy N., 2004, Engo, P170
  • [8] Inertial sensors technologies for navigation applications: state of the art and future trends
    El-Sheimy, Naser
    Youssef, Ahmed
    [J]. SATELLITE NAVIGATION, 2020, 1 (01):
  • [9] Ionospheric and receiver DCB-constrained multi-GNSS single-frequency PPP integrated with MEMS inertial measurements
    Gao, Zhouzheng
    Ge, Maorong
    Shen, Wenbin
    Zhang, Hongping
    Niu, Xiaoji
    [J]. JOURNAL OF GEODESY, 2017, 91 (11) : 1351 - 1366
  • [10] Graph-Based Adaptive Fusion of GNSS and VIO Under Intermittent GNSS-Degraded Environment
    Gong, Zheng
    Liu, Peilin
    Wen, Fei
    Ying, Rendong
    Ji, Xingwu
    Miao, Ruihang
    Xue, Wuyang
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70 (70)