Towards Robust Autonomous Driving: Out-of-Distribution Object Detection in Bird's Eye View Space
In autonomous driving, understanding the surroundings is crucial for safety. Since most object detection systems are designed to identify known objects, they may miss unknown or novel objects, which can be dangerous. This study addresses Out-Of-Distribution (OOD) detection for vehicle-like unknown o...
Saved in:
| Main Authors: | Muhammad Asad, Ihsan Ullah, Ganesh Sistu, Michael G. Madden |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Vehicular Technology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11031213/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BEVCorner: Enhancing Bird’s-Eye View Object Detection with Monocular Features via Depth Fusion
by: Jesslyn Nathania, et al.
Published: (2025-04-01) -
BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds
by: Daniel Ayo Oladele, et al.
Published: (2025-04-01) -
LST-BEV: Generating a Long-Term Spatial–Temporal Bird’s-Eye-View Feature for Multi-View 3D Object Detection
by: Qijun Feng, et al.
Published: (2025-06-01) -
Research on Multi-Task BEV Perception Algorithm Based on LiDAR for Autonomous-Rail Rapid Trams
by: YAO Gang, et al.
Published: (2024-08-01) -
RODA-OOD: Robust Domain Adaptation from Out-of-Distribution Data
by: Jaekyun Jeong, et al.
Published: (2024-12-01)