Boosting Depth Estimation for Self-Driving in a Self-Supervised Framework via Improved Pose Network
Depth estimation is a critical component of self-driving vehicles, enabling accurate scene understanding, obstacle detection, and precise localization. Improving the performance of depth estimation networks without increasing computational cost is highly advantageous for autonomous driving systems....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10767273/ |
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