Validation of Safety Metrics for Object Detectors in Autonomous Driving-Reference-Cited by-同舟云学术

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Validation of Safety Metrics for Object Detectors in Autonomous Driving

Published:2024-04-08 Issue: Volume:2 Page:1559-1568
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
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Author:

Rønnestad Andreas¹^ORCID,Ceccarelli Andrea²^ORCID,Montecchi Leonardo¹^ORCID

Affiliation:

1. Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway

2. Dipartimento di Matematica e Informatica, University of Florence, Firenze, Italy

Funder

European Union-NextGeneration

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635907

Reference33 articles.

1. Pearson correlation coefficient;Benesty Jacob;Springer Topics in Signal Processing,2009

2. nuScenes: A Multimodal Dataset for Autonomous Driving

3. Andrea Ceccarelli and Leonardo Montecchi. 2023. Evaluating Object (Mis)Detection From a Safety and Reliability Perspective: Discussion and Measures. IEEE Access 11 (5 2023), 44952--44963.

4. Kai Chen et al. 2019. MMDetection: Open MMLab Detection Toolbox and Benchmark. arXiv 1906.07155. arXiv:1906.07155 [cs.CV]

5. Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun. 2017. CARLA: An Open Urban Driving Simulator. In Proceedings of the 1st Annual Conference on Robot Learning. 1--16.

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