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 …
Scene as occupancy
Human driver can easily describe the complex traffic scene by visual system. Such an ability
of precise perception is essential for driver's planning. To achieve this, a geometry-aware …
of precise perception is essential for driver's planning. To achieve this, a geometry-aware …
Occworld: Learning a 3d occupancy world model for autonomous driving
Understanding how the 3D scene evolves is vital for making decisions in autonomous
driving. Most existing methods achieve this by predicting the movements of object boxes …
driving. Most existing methods achieve this by predicting the movements of object boxes …
Genad: Generative end-to-end autonomous driving
Directly producing planning results from raw sensors has been a long-desired solution for
autonomous driving and has attracted increasing attention recently. Most existing end-to …
autonomous driving and has attracted increasing attention recently. Most existing end-to …
Symphonize 3d semantic scene completion with contextual instance queries
Abstract 3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal
undertaking in autonomous driving aiming to predict the voxel occupancy within volumetric …
undertaking in autonomous driving aiming to predict the voxel occupancy within volumetric …
Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision
3D occupancy prediction holds significant promise in the fields of robot perception and
autonomous driving, which quantifies 3D scenes into grid cells with semantic labels. Recent …
autonomous driving, which quantifies 3D scenes into grid cells with semantic labels. Recent …
Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai
In the realm of computer vision and robotics embodied agents are expected to explore their
environment and carry out human instructions. This necessitates the ability to fully …
environment and carry out human instructions. This necessitates the ability to fully …
Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation
Comprehensive modeling of the surrounding 3D world is crucial for the success of
autonomous driving. However existing perception tasks like object detection road structure …
autonomous driving. However existing perception tasks like object detection road structure …
Selfocc: Self-supervised vision-based 3d occupancy prediction
Abstract 3D occupancy prediction is an important task for the robustness of vision-centric
autonomous driving which aims to predict whether each point is occupied in the surrounding …
autonomous driving which aims to predict whether each point is occupied in the surrounding …
Occgen: Generative multi-modal 3d occupancy prediction for autonomous driving
Existing 3D semantic occupancy prediction methods typically treat the task as a one-shot 3D
voxel-wise segmentation problem, focusing on a single-step map** between the inputs …
voxel-wise segmentation problem, focusing on a single-step map** between the inputs …