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20222026
most citedMARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

99 citations · 102 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 99 cited

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…

cs.CV2022

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

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…