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A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project
With growing complexity and responsibility of automated driving functions in road traffic and growing scope of their operational design domains, there is increasing demand for covering significant parts of development, validation, and verification via virtual environments and simulation models.
DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning
We implement a baseline by applying cylindrical rectification on the fisheye images and using a standard LSS-based BEV segmentation model.
Multi-camera Bird's Eye View Perception for Autonomous Driving
Surround vision systems that are pretty common in new vehicles use the IPM principle to generate a BEV image and to show it on display to the driver.
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