A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
3D occupancy estimation from surrounding-view images is an exciting task in autonomous
driving, following the success of Bird's Eye View (BEV) perception. In this work, we present a …
driving, following the success of Bird's Eye View (BEV) perception. In this work, we present a …
A Simple Framework for 3D Occupancy Estimation in Autonomous Driving
The task of estimating 3D occupancy from surrounding-view images is an exciting
development in the field of autonomous driving, following the success of Bird's Eye View …
development in the field of autonomous driving, following the success of Bird's Eye View …
Vision-based 3D occupancy prediction in autonomous driving: a review and outlook
In recent years, autonomous driving has garnered escalating attention for its potential to
relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction …
relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction …
3DOPFormer: 3D occupancy perception from multi-camera images with directional and distance enhancement
C Lyu, S Guo, B Zhou, H Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vision-based 3D scene perception and understanding are crucial for autonomous driving,
robot navigation, and obstacle avoidance. However, describing objects with arbitrary shapes …
robot navigation, and obstacle avoidance. However, describing objects with arbitrary shapes …
Monocular Occupancy Prediction for Scalable Indoor Scenes
Camera-based 3D occupancy prediction has recently garnered increasing attention in
outdoor driving scenes. However, research in indoor scenes remains relatively unexplored …
outdoor driving scenes. However, research in indoor scenes remains relatively unexplored …
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
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 …
Monoocc: Digging into monocular semantic occupancy prediction
Monocular Semantic Occupancy Prediction aims to infer the complete 3D geometry and
semantic information of scenes from only 2D images. It has garnered significant attention …
semantic information of scenes from only 2D images. It has garnered significant attention …
Cam4docc: Benchmark for camera-only 4d occupancy forecasting in autonomous driving applications
Understanding how the surrounding environment changes is crucial for performing
downstream tasks safely and reliably in autonomous driving applications. Recent occupancy …
downstream tasks safely and reliably in autonomous driving applications. Recent occupancy …
Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving
Abstract 3D scene understanding plays a vital role in vision-based autonomous driving.
While most existing methods focus on 3D object detection, they have difficulty describing …
While most existing methods focus on 3D object detection, they have difficulty describing …
Fb-occ: 3d occupancy prediction based on forward-backward view transformation
This technical report summarizes the winning solution for the 3D Occupancy Prediction
Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End …
Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End …