360 degrees Surround View System with Parking Guidance

被引:24
|
作者
Yu, Mengmeng [1 ]
Ma, Guanglin [1 ]
机构
[1] Delphi Automot, Gillingham, England
关键词
Automotive engineering;
D O I
10.4271/2014-01-0157
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In this paper, we present a real-time 360 degree surround system with parking aid feature, which is a very convenient parking and blind spot aid system. In the proposed system, there are four fisheye cameras mounted around a vehicle to cover the whole surrounding area. After correcting the distortion of four fisheye images and registering all images on a planar surface, a flexible stitching method was developed to smooth the seam of adjacent images away to generate a high-quality result. In the post-process step, a unique brightness balance algorithm was proposed to compensate the exposure difference as the images are not captured with the same exposure condition. In addition, a unique parking guidance feature is applied on the surround view scene by utilizing steering wheel angle information as well as vehicle speed information.
引用
收藏
页码:19 / 24
页数:6
相关论文
共 4 条
  • [1] Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges
    Kumar, Varun Ravi
    Eising, Ciaran
    Witt, Christian
    Yogamani, Senthil
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (04) : 3638 - 3659
  • [2] A Comparison of Spherical Neural Networks for Surround-View Fisheye Image Semantic Segmentation
    Manzoor, Anam
    Mohandas, Reenu
    Scanlan, Anthony
    Grua, Eoin Martino
    Collins, Fiachra
    Sistu, Ganesh
    Eising, Ciaran
    IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2025, 6 : 717 - 740
  • [3] Test Method of Automated Valet Parking System for Intelligent Vehicles
    Meng H.-L.
    Chen J.-Y.
    Zuo R.-J.
    Yu Z.-P.
    Chen L.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (06): : 158 - 168
  • [4] Near-Field Perception for Low-Speed Vehicle Automation Using Surround-View Fisheye Cameras
    Eising, Ciaran
    Horgan, Jonathan
    Yogamani, Senthil
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 13976 - 13993