Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing

no code implementations • 28 Feb 2024 • Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang

In this paper, we focus on evaluating the decision-making quality of an ADS and propose the first method for detecting non-optimal decision scenarios (NoDSs), where the ADS does not compute optimal paths for AVs.

Autonomous Driving Decision Making

Natural-language-driven Simulation Benchmark and Copilot for Efficient Production of Object Interactions in Virtual Road Scenes

no code implementations • 7 Dec 2023 • Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Die Zuo, Jibin Peng, Zhao Huang, Zhecheng Xu, Fupeng Li, Ziyun Bai, Di Lin

To facilitate the research of NLD simulation, we collect the Language-to-Interaction(L2I) benchmark dataset with 120, 000 natural-language descriptions of object interactions in 6 common types of road topologies.

Autonomous Driving Object

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

no code implementations • 3 Aug 2023 • Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu

To this end, we propose a two-stage generative method, dubbed BEVControl, that can generate accurate foreground and background contents.

Autonomous Driving Foreground Segmentation +1

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion

no code implementations • ICCV 2023 • Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin

In this paper, we propose Cross-View Synthesis Transformer (CVSformer), which consists of Multi-View Feature Synthesis and Cross-View Transformer for learning cross-view object relationships.

Object