End-to-End Online Vectorized Map Construction With Confidence Estimates
This study proposes an end-to-end online vector map generation method, termed COMap, which integrates confidence estimation to enhance the robustness and reliability of environmental perception systems in autonomous driving. The method is based on the DETR framework and introduces a dynamic instance...
Saved in:
| Main Authors: | Bo Huang, Feng Du, Tao Peng, Xiao-Long Zheng, Ji-Quan Wu, Jun-Hui Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11028039/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Polynomial and Differential Networks for End-to-End Autonomous Driving
by: Youngseong Cho, et al.
Published: (2025-01-01) -
Combining Camera–LiDAR Fusion and Motion Planning Using Bird’s-Eye View Representation for End-to-End Autonomous Driving
by: Ze Yu, et al.
Published: (2025-04-01) -
An End-to-end Quality Assurance Procedure for Ethos Online Adaptive Radiotherapy
by: S. A. Yoganathan, et al.
Published: (2025-01-01) -
KPMapNet: Keypoint Representation Learning for Online Vectorized High-Definition Map Construction
by: Bicheng Jin, et al.
Published: (2025-03-01) -
End-to-End Predictive Network for Accurate Early Crop Planting Area Estimation
by: Kedi Lu, et al.
Published: (2025-05-01)