Bird'S Eye View Fusion
Bird's Eye View (BEV) fusion integrates data from multiple sensors, like LiDAR and cameras, into a unified top-down representation for improved scene understanding, primarily in autonomous driving and related applications. Current research emphasizes overcoming challenges like sensor misalignment and data sparsity through innovative fusion architectures, including transformer-based models and those incorporating instance-level and scene-level context. These advancements lead to more robust and accurate 3D object detection, semantic segmentation, and map construction, significantly impacting the development of safer and more reliable autonomous systems.
Papers
April 3, 2024
March 22, 2024
March 12, 2024
October 9, 2023
September 20, 2023