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Wassim El Ahmar, A. D. S. and R. H. (2025). Thermal Pedestrian MultipleObject Tracking Challenge (TPMOT). In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025.
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Nathan Inkawhich, C. T., Justice Wheelwright, Oliver Nina, Dylan Bowald, Angel Sappa, Erik Blasch. (2025). 4th Multi-modal Aerial View Image Challenge: SAR CLASSIFICATION – PBVS 2025. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025, .
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Dylan Bowald, J. W., Oliver Nina, Angel Sappa, Riad Hammoud, Erik Blasch, Nathan Inkawhich. (2025). 3th Multi-modal Aerial View Image Challenge: Sensor Domain Translation – PBVS 2025. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025.
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Rafael E. Rivadeneira, A. D. S., Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen & Shiqi Wang. (2024). Thermal Image Super Resolution Challenge Results – PBVS 2024. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 (3113 – 3122).
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Angel D. Sappa, S. L., Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich. (2024). Multi-modal Aerial View Image Challenge: SAR Classification. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 (pp. 3105–3112).
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Angel D. Sappa, S. L., Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich. (2024). Multi-modal Aerial View Image Challenge: Sensor Domain Translation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 (pp. 3096–3104).
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Xavier Soria, G. P. - J. & A. S. (2022). LDC: Lightweight Dense CNN for Edge Detection. IEEE Access journal, Vol. 10, pp. 68281–68290.
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Armin Mehri, Parichehr Behjati, & Angel Domingo Sappa. (2023). TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution. IEEE Access, Vol. 11.
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Armin Mehri, P. B., Dario Carpio, and Angel D. Sappa. (2023). SRFormer: Efficient Yet Powerful Transformer Network For Single Image Super Resolution. IEEE access, Vol. 11, 121457–121469.
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Miguel Realpe, Boris X. Vintimilla, & L. Vlacic. (2015). Towards Fault Tolerant Perception for autonomous vehicles: Local Fusion. In IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Siem Reap, 2015. (pp. 253–258).
Abstract: Many robust sensor fusion strategies have been developed in order to reliably detect the surrounding environments of an autonomous vehicle. However, in real situations there is always the possibility that sensors or other components may fail. Thus, internal modules and sensors need to be monitored to ensure their proper function. This paper introduces a general view of a perception architecture designed to detect and classify obstacles in an autonomous vehicle's environment using a fault tolerant framework, whereas elaborates the object detection and local fusion modules proposed in order to achieve the modularity and real-time process required by the system.
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