99 citations · 102 across the 7 of their papers we have counts for
7 papers
Emergency Lane-Change Simulation: A Behavioral Guidance Approach for Risky Scenario Generation
Chen Xiong, Cheng Wang, Yuhang Liu +2
In contemporary autonomous driving testing, virtual simulation has become an important approach due to its efficiency and cost effectiveness. However, existing methods usually rely…
3D Gaussian Inverse Rendering with Approximated Global Illumination
Zirui Wu, Jianteng Chen, Laijian Li +5
3D Gaussian Splatting shows great potential in reconstructing photo-realistic 3D scenes. However, these methods typically bake illumination into their representations, limiting the…
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Zirui Wu, Tianyu Liu, Liyi Luo +13
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner c…
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences
Yuxin Huang, Andong Yang, Zirui Wu +6
It has been shown that learning radiance fields with depth rendering and depth supervision can effectively promote the quality and convergence of view synthesis. However, this para…
OmniNeRF: Hybriding Omnidirectional Distance and Radiance fields for Neural Surface Reconstruction
Jiaming Shen, Bolin Song, Zirui Wu +1
3D reconstruction from images has wide applications in Virtual Reality and Automatic Driving, where the precision requirement is very high. Ground-breaking research in the neural r…
City-scale Incremental Neural Mapping with Three-layer Sampling and Panoptic Representation
Yongliang Shi, Runyi Yang, Pengfei Li +3
Neural implicit representations are drawing a lot of attention from the robotics community recently, as they are expressive, continuous and compact. However, city-scale continual i…
LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF
Zhenxin Zhu, Yuantao Chen, Zirui Wu +6
Neural Radiance Fields (NeRFs) have made great success in representing complex 3D scenes with high-resolution details and efficient memory. Nevertheless, current NeRF-based pose es…