Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization

Author:

Vivekanandan Abhishek,Maier Niels,Zöllner J. Marius

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Aeberhard, M., Paul, S., Kaempchen, N., Bertram, T.: Object existence probability fusion using dempster-shafer theory in a high-level sensor data fusion architecture, pp. 770–775. IEEE (2011). https://doi.org/10.1109/IVS.2011.5940430

2. Blanco, J.L.: A tutorial on SE(3) transformation parameterizations and on-manifold optimization. Technical report, 012010, University of Malaga (2010). http://ingmec.ual.es/jlblanco/papers/jlblanco2010geometry3D_techrep.pdf

3. Caesar, H., et al.: nuScenes: a multimodal dataset for autonomous driving. In: CVPR (2020)

4. Chang, A.X., et al.: Shapenet: an information-rich 3D model repository. CoRR abs/1512.03012 (2015). http://arxiv.org/abs/1512.03012

5. Chen, H., Huang, Y., Tian, W., Gao, Z., Xiong, L.: Monorun: monocular 3D object detection by reconstruction and uncertainty propagation. CoRR abs/2103.12605 (2021). https://arxiv.org/abs/2103.12605

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2. Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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