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

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.

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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. [DOI: https://dx.doi.org/10.3390/s24072170] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38610381]