Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity

no code implementations • 2 Feb 2024 • Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng

To alleviate the considerable uncertainty inherent in a small testing scenario set, we frame the FST problem as an optimization problem and search for the testing scenario set based on neighborhood coverage and similarity.

Autonomous Vehicles

OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs

1 code implementation • ICCV 2023 • Honglin He, Zhuoqian Yang, Shikai Li, Bo Dai, Wayne Wu

We present a new method for generating realistic and view-consistent images with fine geometry from 2D image collections.

DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering

1 code implementation • ICCV 2023 • Wei Cheng, Ruixiang Chen, Wanqi Yin, Siming Fan, Keyu Chen, Honglin He, Huiwen Luo, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin

Realistic human-centric rendering plays a key role in both computer vision and computer graphics.

Camera Calibration Novel View Synthesis

Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates

no code implementations • 1 Dec 2022 • Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu

One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their safety performances.

Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios

no code implementations • 19 Jul 2022 • Jingxuan Yang, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu

To validate the proposed method, the high-dimensional overtaking scenarios are investigated, and the results demonstrate that our approach can further accelerate the evaluation process by about 30 times.

regression