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cs.CV2023

Building Lane-Level Maps from Aerial Images

Jiawei Yao, Xiaochao Pan, Tong Wu +1

Detecting lane lines from sensors is becoming an increasingly significant part of autonomous driving systems. However, less development has been made on high-definition lane-level…

cs.CV2023

DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation

Jiawei Yao, Jusheng Zhang, Xiaochao Pan +2

The task of 3D semantic scene completion using monocular cameras is gaining significant attention in the field of autonomous driving. This task aims to predict the occupancy status…

cs.CV2023

QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied Contexts

Jiawei Yao, Yingxin Lai, Hongrui Kou +2

3D object detection plays a pivotal role in autonomous driving and robotics, demanding precise interpretation of Bird's Eye View (BEV) images. The dynamic nature of real-world envi…

cs.CV2023

HarmonicNeRF: Geometry-Informed Synthetic View Augmentation for 3D Scene Reconstruction in Driving Scenarios

Xiaochao Pan, Jiawei Yao, Hongrui Kou +2

In the realm of autonomous driving, achieving precise 3D reconstruction of the driving environment is critical for ensuring safety and effective navigation. Neural Radiance Fields…

cs.CV2023

Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal

Xiao Feng Zhang, Tian Yi Song, Jia Wei Yao

Segment Anything (SAM), an advanced universal image segmentation model trained on an expansive visual dataset, has set a new benchmark in image segmentation and computer vision. Ho…