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 …
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 …
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 …
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
Depth completion is a vital task for autonomous driving as it involves reconstructing the
precise 3D geometry of a scene from sparse and noisy depth measurements. However most …
precise 3D geometry of a scene from sparse and noisy depth measurements. However most …
Licrocc: Teach radar for accurate semantic occupancy prediction using lidar and camera
Semantic Scene Completion (SSC) is pivotal in autonomous driving perception, frequently
confronted with the complexities of weather and illumination changes. The long-term …
confronted with the complexities of weather and illumination changes. The long-term …
Dome: Taming diffusion model into high-fidelity controllable occupancy world model
We propose DOME, a diffusion-based world model that predicts future occupancy frames
based on past occupancy observations. The ability of this world model to capture the …
based on past occupancy observations. The ability of this world model to capture the …
SGDet3D: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera
4D millimeter-wave radar has gained attention as an emerging sensor for autonomous
driving in recent years. However, existing 4D radar and camera fusion models often fail to …
driving in recent years. However, existing 4D radar and camera fusion models often fail to …
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
Y Cui, Z Li, J Wang, Z Fang - arxiv preprint arxiv:2412.08388, 2024 - arxiv.org
Vision-based 3D occupancy prediction has become a popular research task due to its
versatility and affordability. Nowadays, conventional methods usually project the image …
versatility and affordability. Nowadays, conventional methods usually project the image …
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
Y Feng, Y Han, X Zhang, T Li, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Inferring the 3D structure of a scene from a single image is an ill-posed and challenging
problem in the field of vision-centric autonomous driving. Existing methods usually employ …
problem in the field of vision-centric autonomous driving. Existing methods usually employ …
WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction
3D semantic occupancy prediction is an essential part of autonomous driving, focusing on
capturing the geometric details of scenes. Off-road environments are rich in geometric …
capturing the geometric details of scenes. Off-road environments are rich in geometric …