Anomaly Detection in Autonomous Driving: A Survey

Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set conditions, they still struggle to handle the unexpected. This survey provides an extensive overview of anomaly detection techniq...

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Bibliographic Details
Published in:arXiv.org 2022-04
Main Authors: Bogdoll, Daniel, Nitsche, Maximilian, Zöllner, J Marius
Format: Article
Language:English
Subjects:
Anomalies
Autonomous vehicles
Online Access:Get full text
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Summary:Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set conditions, they still struggle to handle the unexpected. This survey provides an extensive overview of anomaly detection techniques based on camera, lidar, radar, multimodal and abstract object level data. We provide a systematization including detection approach, corner case level, ability for an online application, and further attributes. We outline the state-of-the-art and point out current research gaps.
ISSN:2331-8422
DOI:10.48550/arxiv.2204.07974