Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe
Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending
and drawing extensive attention both from industry and academia. Conventional …
and drawing extensive attention both from industry and academia. Conventional …
Grid-centric traffic scenario perception for autonomous driving: A comprehensive review
The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Multimodallarge language models (MLLMs) have emerged as a prominent area of interest
within the research community, given their proficiency in handling and reasoning with non …
within the research community, given their proficiency in handling and reasoning with non …
Bevformer: Learning bird's-eye-view representation from multi-camera images via spatiotemporal transformers
Abstract 3D visual perception tasks, including 3D detection and map segmentation based on
multi-camera images, are essential for autonomous driving systems. In this work, we present …
multi-camera images, are essential for autonomous driving systems. In this work, we present …
Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
How should we integrate representations from complementary sensors for autonomous
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
Polarformer: Multi-camera 3d object detection with polar transformer
Abstract 3D object detection in autonomous driving aims to reason “what” and “where” the
objects of interest present in a 3D world. Following the conventional wisdom of previous 2D …
objects of interest present in a 3D world. Following the conventional wisdom of previous 2D …
Vision-centric bev perception: A survey
In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …
interest from both industry and academia due to its inherent advantages, such as providing …
Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …
autonomous driving. Although recent literature has made significant progress on BEV map …
Persformer: 3d lane detection via perspective transformer and the openlane benchmark
Methods for 3D lane detection have been recently proposed to address the issue of
inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.) …
inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.) …
Bevsegformer: Bird's eye view semantic segmentation from arbitrary camera rigs
Semantic segmentation in bird's eye view (BEV) is an important task for autonomous driving.
Though this task has attracted a large amount of research efforts, it is still challenging to …
Though this task has attracted a large amount of research efforts, it is still challenging to …