Pillar-X: Integrating Self-Learned Image Features to Improve 3D Object Detection
Accurate 3D object detection is essential for robust perception systems in autonomous vehicles. This paper presents Pillar-X, a 3D object recognition framework designed to generate and use self-learned image features. Unlike approaches that rely on pre-trained networks, Pillar-X efficiently learns a...
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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 Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10990258/ |
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