Panoramic image stitching technology and its application in the field of autonomous driving

Research Article
Open access

Panoramic image stitching technology and its application in the field of autonomous driving

Yahui Wang 1*
  • 1 School of Engineering, The University of New South Wales, Sydney, Australia    
  • *corresponding author z5439903@ad.unsw.edu.au
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/31/20230169
ACE Vol.31
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-287-9
ISBN (Online): 978-1-83558-288-6

Abstract

Image processing technology is an indispensable part of the development of many fields, in which panoramic image stitching technology is one of the most widely used technologies in image processing, which is not only applied in the frontier fields of technology such as unmanned aerial vehicles and machine vision detection, but is also closely related to people's lives, for example, the panoramic camera shooting function of the smart phone. The driverless car is also a widely concerned field, its development means the liberation of manpower, the realization and improvement of self-driving car technology can alleviate traffic congestion, the use of transportation for people without the ability to drive and many other social problems. This paper will firstly introduce the panoramic collage technology, including its principle, system architecture and application prospect. Secondly, it focuses on the application of panoramic collage technology in the field of self-driving cars, which is divided into two aspects: sensor hardware and collocation algorithm, and analyzes the applicability of different algorithmic techniques in this field based on the demand characteristics of self-driving cars. The research in this paper points out the optimization direction of panoramic collage technology required by self-driving cars, which will be of great value to the development and application of panoramic collage technology in the field of self-driving cars.

Keywords:

autonomous driving, panoramic image, image stitching, image processing technology

Wang,Y. (2024). Panoramic image stitching technology and its application in the field of autonomous driving. Applied and Computational Engineering,31,284-289.
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References

[1]. Liu L, Lu S, Zhong R, Wu B, Yao Y, Zhang Q and Shi W 2020 IEEE Internet Things J. 8 6469–6486

[2]. Yurtsever E, Lambert J, Carballo A and Takeda K 2020 IEEE Access 8 58443–69

[3]. Irhebhude M E, Shabi M and Kolawole A 2019 IJIVP 10 2054–60

[4]. Lyu W, Zhou Z, Chen L and Zhou Y 2019 Virtual Reality & Intelligent Hardware 1 55–83

[5]. Wang Z and Yang Z 2020 Multimedia Systems 26 413–30

[6]. Abbadi N K E, Al Hassani S A and Abdulkhaleq A H 2021 J. Phys.: Conf. Ser. 1999 012115

[7]. Gao S, Yang K, Shi H, Wang K and Bai J 2022 IEEE Trans Instrum Meas 71 34

[8]. Chen L, Zou Q, Pan Z, Lai D, Zhu L, Hou Z, Wang J and Cao D 2020 IEEE Trans. Intell. Transport. Syst. 21 5110–22

[9]. Sihan L, Hongwen Q, Jixiang L and Weimeng H 2023 Digital Technology & Application. 3 180–183

[10]. Cortes-Gallardo E, Moreno-Garcia C F, Zhu A, Chipuli-Silva D, Gonzalez-Gonzalez J A, Morales-Ortiz D, Fernandez S, Urriza B, Valverde-Lopez J, Marin A, Perez H, Izquierdo-Reyes J and Bustamante-Bello R 2019 2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) 50–55

[11]. Jingxiong Z and Yiyou Z 2021 Computer Knowledge and Technology. 27 107–108

[12]. Weidong P and Lidong P 2020 Modern Computer. 31 64–67

[13]. Wang L, Yu W and Li B 2020 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 694

Cite this article

Wang,Y. (2024). Panoramic image stitching technology and its application in the field of autonomous driving. Applied and Computational Engineering,31,284-289.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-287-9(Print) / 978-1-83558-288-6(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.31
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Liu L, Lu S, Zhong R, Wu B, Yao Y, Zhang Q and Shi W 2020 IEEE Internet Things J. 8 6469–6486

[2]. Yurtsever E, Lambert J, Carballo A and Takeda K 2020 IEEE Access 8 58443–69

[3]. Irhebhude M E, Shabi M and Kolawole A 2019 IJIVP 10 2054–60

[4]. Lyu W, Zhou Z, Chen L and Zhou Y 2019 Virtual Reality & Intelligent Hardware 1 55–83

[5]. Wang Z and Yang Z 2020 Multimedia Systems 26 413–30

[6]. Abbadi N K E, Al Hassani S A and Abdulkhaleq A H 2021 J. Phys.: Conf. Ser. 1999 012115

[7]. Gao S, Yang K, Shi H, Wang K and Bai J 2022 IEEE Trans Instrum Meas 71 34

[8]. Chen L, Zou Q, Pan Z, Lai D, Zhu L, Hou Z, Wang J and Cao D 2020 IEEE Trans. Intell. Transport. Syst. 21 5110–22

[9]. Sihan L, Hongwen Q, Jixiang L and Weimeng H 2023 Digital Technology & Application. 3 180–183

[10]. Cortes-Gallardo E, Moreno-Garcia C F, Zhu A, Chipuli-Silva D, Gonzalez-Gonzalez J A, Morales-Ortiz D, Fernandez S, Urriza B, Valverde-Lopez J, Marin A, Perez H, Izquierdo-Reyes J and Bustamante-Bello R 2019 2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) 50–55

[11]. Jingxiong Z and Yiyou Z 2021 Computer Knowledge and Technology. 27 107–108

[12]. Weidong P and Lidong P 2020 Modern Computer. 31 64–67

[13]. Wang L, Yu W and Li B 2020 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 694

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