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Correction

Correction: Chen et al. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors 2024, 24, 2170

1
Faculty of Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
2
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
3
Division of Mechanics and Acoustics, National Institute of Metrology, Beijing 102200, China
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(11), 3320; https://doi.org/10.3390/s24113320
Submission received: 22 April 2024 / Accepted: 17 May 2024 / Published: 23 May 2024

Missing Citation

In the original publication [1], Ref. [31] was not cited. The citation has now been inserted in Related Works, Paragraph 1 and should read:
Figure 1. Diagram of the three types of collaboration strategies [31]. (a) Precoordinated vehicle feature fusion process. (b) Midphase feature fusion process of the cooperative vehicle. (c) Late feature fusion process of the cooperative vehicle.
In the original publication, Ref. [40] was not cited. The citation has now been inserted in HP3D-V2V Algorithm, Point Cloud Denoising, Paragraph 1 and should read:
Given the complexity of the environment in vehicle perception tasks, LiDAR point cloud data (PCD) usually has a large amount of nonvehicle noise, such as ground noise, wall point noise, and sensor noise [40].
The order of other references in the original manuscript has been adjusted accordingly. The newly added references appear below:
31. Li, Y.; Ren, S.; Wu, P.; Chen, S.; Feng, C.; Zhang, W. Learning distilled collaboration graph for multi-agent perception. Adv. Neural Inf. Process. Syst. 2021, 34, 29541–29552.
40. Cheng, D.; Zhao, D.; Zhang, J.; Wei, C.; Tian, D. PCA-Based Denoising Algorithm for Outdoor Lidar Point Cloud Data. Sensors 2021, 21, 3703. https://doi.org/10.3390/s21113703.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Chen, H.; Wang, H.; Liu, Z.; Gu, D.; Ye, W. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors 2024, 24, 2170. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Chen, H.; Wang, H.; Liu, Z.; Gu, D.; Ye, W. Correction: Chen et al. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors 2024, 24, 2170. Sensors 2024, 24, 3320. https://doi.org/10.3390/s24113320

AMA Style

Chen H, Wang H, Liu Z, Gu D, Ye W. Correction: Chen et al. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors 2024, 24, 2170. Sensors. 2024; 24(11):3320. https://doi.org/10.3390/s24113320

Chicago/Turabian Style

Chen, Hongmei, Haifeng Wang, Zilong Liu, Dongbing Gu, and Wen Ye. 2024. "Correction: Chen et al. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. Sensors 2024, 24, 2170" Sensors 24, no. 11: 3320. https://doi.org/10.3390/s24113320

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