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Su et al., 2023 - Google Patents

Uncertainty quantification of collaborative detection for self-driving

Su et al., 2023

View PDF
Document ID
2253966741251855938
Author
Su S
Li Y
He S
Han S
Feng C
Ding C
Miao F
Publication year
Publication venue
2023 IEEE International Conference on Robotics and Automation (ICRA)

External Links

Snippet

Sharing information between connected and autonomous vehicles (CAVs) fundamentally improves the performance of collaborative object detection for self-driving. However, CAVs still have uncertainties on object detection due to practical challenges, which will affect the …
Continue reading at arxiv.org (PDF) (other versions)

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