5 papers
VG3S: Visual Geometry Grounded Gaussian Splatting for Semantic Occupancy Prediction
Xiaoyang Yan, Muleilan Pei, Shaojie Shen
3D semantic occupancy prediction has become a crucial perception task for comprehensive scene understanding in autonomous driving. While recent advances have explored 3D Gaussian s…
ST-GS: Vision-Based 3D Semantic Occupancy Prediction with Spatial-Temporal Gaussian Splatting
Xiaoyang Yan, Muleilan Pei, Shaojie Shen
3D occupancy prediction is critical for comprehensive scene understanding in vision-centric autonomous driving. Recent advances have explored utilizing 3D semantic Gaussians to mod…
Enhancing Inverse Perspective Mapping for Automatic Vectorized Road Map Generation
Hongji Liu, Linwei Zheng, Yongjian Li +4
In this study, we present a low-cost and unified framework for vectorized road mapping leveraging enhanced inverse perspective mapping (IPM). In this framework, Catmull-Rom splines…
Results of the 2024 CommonRoad Motion Planning Competition for Autonomous Vehicles
Yanliang Huang, Xia Yan, Peiran Yin +5
Over the past decade, a wide range of motion planning approaches for autonomous vehicles has been developed to handle increasingly complex traffic scenarios. However, these approac…
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training
Fulong Ma, Xiaoyang Yan, Guoyang Zhao +4
Monocular 3D object detection plays a crucial role in autonomous driving. However, existing monocular 3D detection algorithms depend on 3D labels derived from LiDAR measurements, w…