Dongqian Guo — accepted AI-conference papers

2026

DriveVLN: Towards Mapless Vision-and-Language Navigation in Autonomous Driving

Dongqian Guo, Haoran Wei, Wencheng Han, Runzhou Tao, Zhongying Qiu, Jianfei Yang +1

CVPR 2026

Autonomous driving has made substantial progress recently, achieving reliable performance in most real-world environments. However, existing algorithms still depend heavily on high-definition maps, making them ineffective in mapless scenarios such as indoor parking lots. These limitations hinder sea

Cited by 0 Source ↗Scholar ↗

2025

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, Jianbing Shen

AAAI 2025technical

There are two crucial aspects of reliable autonomous driving systems: the reasoning behind decision-making and the precision of environmental perception. This paper introduces DME-Driver, a new autonomous driving system that enhances performance and robustness by fully leveraging the two crucial asp…

Cited by 25 Source ↗PDF ↗Scholar ↗