Skip to main content
Top

2023 | OriginalPaper | Chapter

Deep Learning and Geo-Fencing Based Free Parking Spot Detection Using a Camera Mounted on a Truck

Authors : Lei YE, Ebin Zacharias, Hans Christian Reuss, Kun Gao

Published in: 23. Internationales Stuttgarter Symposium

Publisher: Springer Fachmedien Wiesbaden

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The global shipping industry is experiencing rapid growth due to increased demand for commodities driven by e-commerce and digital technology. This growth has created new challenges for the logistics industry, which must improve efficiency, accuracy, and speed. Automation of logistics processes is an important research topic that can help address these challenges by reducing human error, increasing efficiency, and saving labor and energy costs. An important area of focus for logistics yard automation is vehicle management, and understanding parking occupancy is critical to better inventory management and faster operations. This study analyzes existing parking space detection methods and evaluates their feasibility in specific logistics scenarios, identifying new challenges and potential benefits of logistics yard automation. Our proposed solution is based on deep learning and Geofence, which exploits the standardization of parking spaces in the logistics park area and combines a deep learning model to estimate the distance and declination of the exchanged bodies within the screen without the need for additional 3D sensors. Our approach offers significant advantages in terms of deployment cost, operational flexibility, and utilization of additional information. It shows the powerful performance of deep learning in object detection on the one hand, and the great application potential of geo-fencing on the other hand, providing a new way of thinking for future parking spot detection.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
1.
go back to reference CAO, Zhe; SIMON, Tomas; WEI, Shih-En; SHEIKH, Yaser: Realtime multiperson 2d pose estimation using part affinity fields. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, S. 7291–7299 CAO, Zhe; SIMON, Tomas; WEI, Shih-En; SHEIKH, Yaser: Realtime multiperson 2d pose estimation using part affinity fields. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, S. 7291–7299
3.
go back to reference GEITGEY, Adam: Snagging Parking Spaces with Mask R-CNN and Python. (2019). https://medium.com/@ageitgey/snagging-parking-spaces-with-mask-r-cnn-and-python-955f2231c400 GEITGEY, Adam: Snagging Parking Spaces with Mask R-CNN and Python. (2019). https://​medium.​com/​@ageitgey/snagging-parking-spaces-with-mask-r-cnn-and-python-955f2231c400
4.
go back to reference JEONG, SH; CHOI, CG; OH, JN; YOON, PJ; KIM, BS; KIM, M; LEE, KH: Low cost design of parallel parking assist system based on an ultrasonic sensor. In: International Journal of Automotive Technology 11 (2010), Nr. 3, S. 409–416 JEONG, SH; CHOI, CG; OH, JN; YOON, PJ; KIM, BS; KIM, M; LEE, KH: Low cost design of parallel parking assist system based on an ultrasonic sensor. In: International Journal of Automotive Technology 11 (2010), Nr. 3, S. 409–416
5.
go back to reference JIAN, L; SHAOSHAN, L; LIANG, H; BO, Y: Automatic Parking Assistant Method and System of Unmanned Vehicle Based on GPS JIAN, L; SHAOSHAN, L; LIANG, H; BO, Y: Automatic Parking Assistant Method and System of Unmanned Vehicle Based on GPS
6.
go back to reference JUNG, Ho G.; KIM, Dong S.; YOON, Pal J.; KIM, Jai H.: 3D vision system for the recognition of free parking site location. In: International journal of automotive technology 7 (2006), Nr. 3, S. 361–367 JUNG, Ho G.; KIM, Dong S.; YOON, Pal J.; KIM, Jai H.: 3D vision system for the recognition of free parking site location. In: International journal of automotive technology 7 (2006), Nr. 3, S. 361–367
8.
go back to reference LAW, Hei; DENG, Jia: Cornernet: Detecting objects as paired keypoints. In: Proceedings of the European conference on computer vision (ECCV), 2018, S.734–750 LAW, Hei; DENG, Jia: Cornernet: Detecting objects as paired keypoints. In: Proceedings of the European conference on computer vision (ECCV), 2018, S.734–750
9.
go back to reference LI, Lei; LI, Changle; ZHANG, Qieshi; GUO, Tao; MIAO, Zhifang: Automatic parking slot detection based on around view monitor (AVM) systems. In: 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) IEEE, 2017, S. 1–6 LI, Lei; LI, Changle; ZHANG, Qieshi; GUO, Tao; MIAO, Zhifang: Automatic parking slot detection based on around view monitor (AVM) systems. In: 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) IEEE, 2017, S. 1–6
10.
go back to reference LI, Linshen; ZHANG, Lin; LI, Xiyuan; LIU, Xiao; SHEN, Ying; XIONG, Lu: Vision-based parking-slot detection: A benchmark and a learning-based approach. In: 2017 IEEE International Conference on Multimedia and Expo (ICME) IEEE, 2017, S. 649–654 LI, Linshen; ZHANG, Lin; LI, Xiyuan; LIU, Xiao; SHEN, Ying; XIONG, Lu: Vision-based parking-slot detection: A benchmark and a learning-based approach. In: 2017 IEEE International Conference on Multimedia and Expo (ICME) IEEE, 2017, S. 649–654
11.
go back to reference LIN, Tsung-Yi; GOYAL, Priya; GIRSHICK, Ross; HE, Kaiming; DOLLÁR, Piotr: Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision, 2017, S. 2980–2988 LIN, Tsung-Yi; GOYAL, Priya; GIRSHICK, Ross; HE, Kaiming; DOLLÁR, Piotr: Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision, 2017, S. 2980–2988
12.
go back to reference MA, Yong; LIU, Yangguo; ZHANG, Lin; CAO, Yuanlong; GUO, Shihui; LI, Hanxi: Research review on parking space detection method. In: Symmetry 13 (2021), Nr. 1, S. 128 MA, Yong; LIU, Yangguo; ZHANG, Lin; CAO, Yuanlong; GUO, Shihui; LI, Hanxi: Research review on parking space detection method. In: Symmetry 13 (2021), Nr. 1, S. 128
13.
go back to reference POHL, Jochen; SETHSSON, M; DEGERMAN, Pär; LARSSON, Jonas: A semi-automated parallel parking system for passenger cars. In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 220 (2006), Nr. 1, S. 53–65 POHL, Jochen; SETHSSON, M; DEGERMAN, Pär; LARSSON, Jonas: A semi-automated parallel parking system for passenger cars. In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 220 (2006), Nr. 1, S. 53–65
14.
go back to reference SUHR, Jae K.; JUNG, Ho G.: Full-automatic recognition of various parking slot markings using a hierarchical tree structure. In: Optical Engineering 52 (2013), Nr. 3, S. 037203 SUHR, Jae K.; JUNG, Ho G.: Full-automatic recognition of various parking slot markings using a hierarchical tree structure. In: Optical Engineering 52 (2013), Nr. 3, S. 037203
15.
go back to reference SUHR, Jae K.; JUNG, Ho G.: Sensor fusion-based vacant parking slot detection and tracking. In: IEEE transactions on intelligent transportation systems 15 (2013), Nr. 1, S. 21–36 SUHR, Jae K.; JUNG, Ho G.: Sensor fusion-based vacant parking slot detection and tracking. In: IEEE transactions on intelligent transportation systems 15 (2013), Nr. 1, S. 21–36
16.
go back to reference TINGTING, W; DALIN, J; BIN, Z; FANG, W: Overview of Parking Space Detection Methods Based on Video. In: Proceedings of the 7th National Conference on Information Acquisition and Processing, Guilin, Guangxi, China Bd. 6, 2018 TINGTING, W; DALIN, J; BIN, Z; FANG, W: Overview of Parking Space Detection Methods Based on Video. In: Proceedings of the 7th National Conference on Information Acquisition and Processing, Guilin, Guangxi, China Bd. 6, 2018
17.
go back to reference WANG, Chunxiang; ZHANG, Hengrun; YANG, Ming; WANG, Xudong; YE, Lei; GUO, Chunzhao: Automatic parking based on a bird’s eye view vision system. In: Advances in Mechanical Engineering 6 (2014), S. 847406 WANG, Chunxiang; ZHANG, Hengrun; YANG, Ming; WANG, Xudong; YE, Lei; GUO, Chunzhao: Automatic parking based on a bird’s eye view vision system. In: Advances in Mechanical Engineering 6 (2014), S. 847406
19.
go back to reference ZHANG, Lin; HUANG, Junhao; LI, Xiyuan; XIONG, Lu: Vision-based parking-slot detection: A DCNN-based approach and a large-scale benchmark dataset. In: IEEE Transactions on Image Processing 27 (2018), Nr. 11, S. 5350–5364 ZHANG, Lin; HUANG, Junhao; LI, Xiyuan; XIONG, Lu: Vision-based parking-slot detection: A DCNN-based approach and a large-scale benchmark dataset. In: IEEE Transactions on Image Processing 27 (2018), Nr. 11, S. 5350–5364
Metadata
Title
Deep Learning and Geo-Fencing Based Free Parking Spot Detection Using a Camera Mounted on a Truck
Authors
Lei YE
Ebin Zacharias
Hans Christian Reuss
Kun Gao
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-658-42236-3_13

Premium Partner