Assessing Distribution Shift in Probabilistic Object Detection Under Adverse Weather

Object detection is a safety-critical aspect of autonomous driving, allowing vehicles to identify moving objects in the scene for tracking, prediction and decision making. Current detectors, however, tend to provide point estimates for detected objects, which lack information on the variability of t...

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Bibliographic Details
Main Authors: Mathew Hildebrand, Andrew Brown, Stephen Brown, Steven L. Waslander
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10108992/