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 …
Gaussianformer: Scene as gaussians for vision-based 3d semantic occupancy prediction
Abstract 3D semantic occupancy prediction aims to obtain 3D fine-grained geometry and
semantics of the surrounding scene and is an important task for the robustness of vision …
semantics of the surrounding scene and is an important task for the robustness of vision …
Octreeocc: Efficient and multi-granularity occupancy prediction using octree queries
Occupancy prediction has increasingly garnered attention in recent years for its fine-grained
understanding of 3D scenes. Traditional approaches typically rely on dense, regular grid …
understanding of 3D scenes. Traditional approaches typically rely on dense, regular grid …
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 …
Occupancy as set of points
In this paper, we explore a novel point representation for 3D occupancy prediction from multi-
view images, which is named Occupancy as Set of Points. Existing camera-based methods …
view images, which is named Occupancy as Set of Points. Existing camera-based methods …
Collaborative semantic occupancy prediction with hybrid feature fusion in connected automated vehicles
Collaborative perception in automated vehicles leverages the exchange of information
between agents aiming to elevate perception results. Previous camera-based collaborative …
between agents aiming to elevate perception results. Previous camera-based collaborative …
A survey on occupancy perception for autonomous driving: The information fusion perspective
Abstract 3D occupancy perception technology aims to observe and understand dense 3D
environments for autonomous vehicles. Owing to its comprehensive perception capability …
environments for autonomous vehicles. Owing to its comprehensive perception capability …
Camera-based 3d semantic scene completion with sparse guidance network
Semantic scene completion (SSC) aims to predict the semantic occupancy of each voxel in
the entire 3D scene from limited observations, which is an emerging and critical task for …
the entire 3D scene from limited observations, which is an emerging and critical task for …
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction
A comprehensive understanding of 3D scenes is crucial in autonomous vehicles (AVs), and
recent models for 3D semantic occupancy prediction have successfully addressed the …
recent models for 3D semantic occupancy prediction have successfully addressed the …
Context and geometry aware voxel transformer for semantic scene completion
Vision-based Semantic Scene Completion (SSC) has gained much attention due to its
widespread applications in various 3D perception tasks. Existing sparse-to-dense …
widespread applications in various 3D perception tasks. Existing sparse-to-dense …