Grounding DINO and distillation-enhanced model for advanced traffic sign detection and classification in autonomous vehicles
Accurate traffic sign detection is critical for safe autonomous driving. This paper presents a novel approach that integrates GroundingDINO, known for its semantic grounding capabilities, with a self-distilled ResNet to enhance detection performance and real-time feasibility. While GroundingDINO exc...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000837 |
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