[1]江灏,黄鼎键,成雨生.基于多传感器融合的无车位线车位识别[J].福建理工大学学报,2025,23(06):550-556.[doi:10.3969/j.issn.2097-3853.2025.06.006]
 JIANG Hao,HUANG Dingjian,CHENG Yusheng.Parking spot recognition without parking line based on multi-sensor fusion[J].Journal of Fujian University of Technology;,2025,23(06):550-556.[doi:10.3969/j.issn.2097-3853.2025.06.006]
点击复制

基于多传感器融合的无车位线车位识别()
分享到:

《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第23卷
期数:
2025年06期
页码:
550-556
栏目:
出版日期:
2025-12-25

文章信息/Info

Title:
Parking spot recognition without parking line based on multi-sensor fusion
作者:
江灏黄鼎键成雨生
福建理工大学机械与汽车工程学院
Author(s):
JIANG HaoHUANG DingjianCHENG Yusheng
School of Mechanical & Automotive Engineering, Fujian University of Technology
关键词:
多传感器激光雷达3D相机智能小车车位识别
Keywords:
multi-sensorlidar3D cameraintelligent small vehicleparking spot recognition
分类号:
TP242
DOI:
10.3969/j.issn.2097-3853.2025.06.006
文献标志码:
A
摘要:
针对自动泊车系统难以识别无车位线车位的情况,提出使用二维激光雷达与3D 相机进行多传感器信息融合,实现对无车位线车位的识别。同时通过二维激光雷达与3D相机对车位空间深度进行测量,实现了车位空间内障碍物的实时检测与预警。利用Matlab/Simulink搭建了6种不同工况的泊车场景进行车位识别仿真,并且使用智能小车进行多种工况的试验。试验结果验证了所提出的车位识别方法能有效提高对无车位线车位的识别准确性。
Abstract:
In view of the difficulty of identifying parking spaces without lines in automatic parking systems, this paper proposes to use multi-sensor information fusion of 2D lidar and 3D camera to realize the recognition of parking spaces without lines. At the same time, 2D lidar and 3D camera are used to measure the depth of parking space, which realizes real-time detection and early warning of obstacles in parking space. Matlab/Simulink is used to build six parking scenarios under different working conditions for parking recognition simulation, and intelligent cars are used to carry out tests under various working conditions. Test results verify that the parking recognition method in this paper can effectively improve the accuracy of identification of parking spaces without parking lines.

参考文献/References:

[1] 江浩斌,王成雨,马世典,等. 基于图像梯度匹配的自动泊车系统车位识别方法[J]. 江苏大学学报(自然科学版),2020,41(6):621-626.[2] 朱旺旺,黄宏成,马晋兴. 基于图像识别的泊车车位检测算法研究[J]. 汽车工程,2019,41(7):744-749,756.[3] MA S D,FANG W F,JIANG H B,et al. Parking space recognition method based on parking space feature construction in the scene of autonomous valet parking[J]. Applied Sciences,2021,11(6):2759.[4] 徐远征,吴长水. 基于改进快速探索随机树的复杂环境垂直泊车路径规划[J]. 汽车技术,2022(7):42-47.[5] 仇旭,朱浩,邓元望. 基于超声波雷达的改进车位检测算法研究[J]. 中国机械工程,2020,31(14):1747-1753.[6] JIMNEZ F,CLAVIJO M,CERRATO A. Perception,positioning and decision-making algorithms adaptation for an autonomous valet parking system based on infrastructure reference points using one single LiDAR[J]. Sensors,2022,22(3):979.[7] 王志伟. 基于安全通道路径规划的自动泊车系统关键技术研究[D]. 长春:吉林大学,2022.[8] 肖淳. 自动泊车系统规划设计与跟踪控制仿真研究[D]. 广州:广东工业大学,2022.[9] 《中国公路学报》编辑部. 中国汽车工程学术研究综述·2023[J]. 中国公路学报,2023,36(11):1-192.[10] PIAO C H,ZHANG J,CHANG K,et al. Multi-sensor information ensemble-based automatic parking system for vehicle parallel/nonparallel initial state[J]. Sensors,2021,21(7):2261.[11] 江浩斌,沈峥楠,马世典,等. 基于信息融合的自动泊车系统车位智能识别[J]. 机械工程学报,2017,53(22):125-133.[12] 姜武华,辛鑫,陈无畏,等. 基于信息融合的自动泊车系统多工况车位识别和决策规划[J]. 机械工程学报,2021,57(6):131-141.[13] 汪永旺,汪石农,姜灏,等. 多工况下自动泊车系统停车位识别方法研究[J]. 电子测量与仪器学报,2022,36(9):174-182.[14] 王杰,周志杰,胡昌华,等. 不确定性信息表示及推理[J]. 控制与决策,2023,38(10):2749-2763.[15] 刘春华,安佳奕. 基于Lyapunov函数的Mamdani模糊控制系统稳定性研究[J]. 机床与液压,2020,48(11):172-178.

相似文献/References:

[1]付鹏辉,闫晓磊,余捷,等.激光雷达与RGB-D相机融合的SLAM建图[J].福建理工大学学报,2024,22(01):58.[doi:10.3969/j.issn.2097-3853.2024.01.009]
 FU Penghui,YAN Xiaolei,YU Jie,et al.SLAM mapping based on fusion of LiDAR and RGB-D camera[J].Journal of Fujian University of Technology;,2024,22(06):58.[doi:10.3969/j.issn.2097-3853.2024.01.009]

更新日期/Last Update: 2025-12-25