在进入以下内容之前,首先介绍的是以ps2.0数据集为脉络的一系列工作,都是由同济大学完成的。

  • (2018, DeepPS)Vision-Based Parking-Slot Detection:A DCNN-Based Approach and a Large-Scale Benchmark Dataset: 这篇文章发布了ps2.0数据集,首次将深度卷积应用到parking slot detection, 涉及到了平行四边形的停车位。开源了数据标注工具和算法代码,但都是使用C++在matlab上实现的。

  • (2019, DMPR-PS)DMPR-PS: A NOVEL APPROACH FOR PARKING-SLOT DETECTION USING DIRECTIONAL MARKING-POINT REGRESSION: 这篇文章基于前一篇,在数据集中增加标注了每个marking point的shape和direction信息,配对选择了3阶段过滤法(我称之为)。但是没有涉及平行四边形的停车位。处理流程大概是:

  • Image pixel scale to [0,1] and apply rotated augmentation

  • YetAnotherDarknet used as backbone, then image go through self.predict(x), output a feature map with size of (batchSize, channel=6, mapSize=16, mapSize=16).

  • The 6 channels is asigned by hand, it must be aligned with converted label in training phrase. The converted process is like YoLo. 6 channels can represent [confidence, markingPointX, markingPointY, markingPointShape, markingPointDirection]

  • After the image went through the model, and calculated the loss, the training phrase is finished.

  • As for the inference phrase, the detected markingPoint must pair one to one, in order to pass the 3-stage-filter to form a valid parking slot.

  • (2021, GCN-ParkingSlot)Attentional Graph Neural Network for Parking-slot Detection:
    从网络结构看,分两条路,pointLoss and LineLoss。使用了图神经网络,缺点是网络复杂,效果提升不明显。

说明了以上三个一脉相承的工作后,来比较一下三个论文中给出的实验结果,都是基于ps2.0数据集的。

我看到的问题是GCN的实验结果对照方法的分数来自于DMPR-PS论文,而DMPR-PS的结果可能是自己复现的,但是分数上降低了DeepPS论文给出的precission,提高了recall。

https://github.com/lymhust/awesome-parking-slot-detection

awesome-parking-slot-detection

parking slot detection

Paper

Code

Blog

Dataset

Demo

Paper

2020

"Context-Based Parking Slot Detection With a Realistic Dataset." IEEE Access, 2020.

"Real Time Detection Algorithm of Parking Slot Based on Deep Learning and Fisheye Image." Journal of Physics: Conference Series. Vol. 1518. No. 1. IOP Publishing, 2020.

"Parking Slot Detection on Around-View Images Using DCNN." Frontiers in Neurorobotics (2020).

"A Study Of Parking-Slot Detection With The Aid Of Pixel-Level Domain Adaptation." 2020 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2020."

"AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot." arXiv preprint arXiv:2007.01813 (2020).

"PSDet: Efficient and Universal Parking Slot Detection." arXiv preprint arXiv:2005.05528 (2020).

"Vacant Parking Slot Detection in the Around View Image Based on Deep Learning." Sensors 20.7 (2020): 2138.

"Vision-Based Parking Slot Detection Based on End-to-End Semantic Segmentation Training." 2020 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2020.

"End-to-End Trainable One-Stage Parking Slot Detection Integrating Global and Local Informations." arXiv preprint arXiv:2003.02445 (2020).

"SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection." arXiv preprint arXiv:2003.11337 (2020).

2019

"Parking Line Based SLAM Approach Using AVM/LiDAR Sensor Fusion for Rapid and Accurate Loop Closing and Parking Space Detection." Sensors 19.21 (2019): 4811.

"A deep-learning approach for parking slot detection on surround-view images." 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2019.

"DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression." 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2019.

2018

"Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset." IEEE Transactions on Image Processing 27.11 (2018): 5350-5364.

"VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View." 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018.

"Probabilistic Occupancy Filter for Parking Slot Marker Detection in an Autonomous Parking System Using AVM." IEEE Transactions on Intelligent Transportation Systems 20.6 (2018): 2389-2394.

"Geometric Features-Based Parking Slot Detection." Sensors 18.9 (2018): 2821.

"Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking." 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018.

2017

"Computer vision in automated parking systems: Design, implementation and challenges." Image and Vision Computing 68 (2017): 88-101.

"Automatic parking slot detection based on around view monitor (AVM) systems." 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2017.

2016

"Directional-DBSCAN: Parking-slot detection using a clustering method in around-view monitoring system." 2016 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2016.

"Automatic parking space detection and tracking for underground and indoor environments." IEEE Transactions on Industrial Electronics 63.9 (2016): 5687-5698.

"Semantic segmentation-based parking space detection with standalone around view monitoring system." Machine Vision and Applications 30.2 (2019): 309-319.

"A method of detecting parking slot in hough space and pose estimation using rear view image for autonomous parking system." 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC). IEEE, 2016.

Code

https://cslinzhang.github.io/deepps/

https://github.com/Teoge/DMPR-PS

https://github.com/dohoseok/context-based-parking-slot-detect/

Blog

Searching for a Parking Spot? AI Got It

AI Can Detect Open Parking Spaces

Dataset

Tongji Parking-slot Dataset 2.0

Parking slot dataset for different scenes

Context-Based Parking Slot Detection With a Realistic Dataset

Demo

https://www.youtube.com/watch?v=XmgYxAg149o

https://www.youtube.com/watch?v=THh3yB6nbMA

https://www.youtube.com/watch?v=DCaltpi9X0s

Contact & Feedback

If you have any suggestions about papers, feel free to mail me 🙂

paperswithcode

https://paperswithcode.com/search?q_meta=&q_type=&q=parking+slot

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