Exploring Sensor Impact and Architectural Robustness in Adverse Weather on BEV Perception

Reliable perception in automated vehicles under adverse conditions, such as fog, rain, snow, and lens defocus, is essential for maintaining the safety of road actors and particularly of vulnerable road users. While prior work has primarily focused on camera occlusions, the impact on RADAR and LiDAR...

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Bibliografiske detaljer

Principais autores:	Sanjay Kumar, Sushil Sharma, Rabia Asghar, Reenu Mohandas, Tim Brophy, Ganesh Sistu, Eoin Martino Grua, Valentina Donzella, Ciaran Eising
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Open Journal of Vehicular Technology
Fag:	Multi-sensor fusion sensor level occlusion camera features projection bird's eye view vehicle segmentation map segmentation
Online adgang:	https://ieeexplore.ieee.org/document/11204511/
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