Grid-centric traffic scenario perception for autonomous driving: A comprehensive review

Y Shi, K Jiang, J Li, Z Qian, J Wen… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
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 …

Scene as occupancy

W Tong, C Sima, T Wang, L Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Occworld: Learning a 3d occupancy world model for autonomous driving

W Zheng, W Chen, Y Huang, B Zhang, Y Duan… - European conference on …, 2024 - Springer
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 …

Genad: Generative end-to-end autonomous driving

W Zheng, R Song, X Guo, C Zhang, L Chen - European Conference on …, 2024 - Springer
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 …

Symphonize 3d semantic scene completion with contextual instance queries

H Jiang, T Cheng, N Gao, H Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision

M Pan, J Liu, R Zhang, P Huang, X Li… - … on Robotics and …, 2024 - ieeexplore.ieee.org
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 …

Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai

T Wang, X Mao, C Zhu, R Xu, R Lyu… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation

Y Wang, Y Chen, X Liao, L Fan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Comprehensive modeling of the surrounding 3D world is crucial for the success of
autonomous driving. However existing perception tasks like object detection road structure …

Selfocc: Self-supervised vision-based 3d occupancy prediction

Y Huang, W Zheng, B Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Occgen: Generative multi-modal 3d occupancy prediction for autonomous driving

G Wang, Z Wang, P Tang, J Zheng, X Ren… - … on Computer Vision, 2024 - Springer
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 …