Search Results for author: Ming Nie

Found 4 papers, 3 papers with code

LaneCorrect: Self-supervised Lane Detection

no code implementations • 23 Apr 2024 • Ming Nie, Xinyue Cai, Hang Xu, Li Zhang

Lane detection has evolved highly functional autonomous driving system to understand driving scenes even under complex environments.

Autonomous Driving Lane Detection

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Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving

1 code implementation • 6 Dec 2023 • Ming Nie, Renyuan Peng, Chunwei Wang, Xinyue Cai, Jianhua Han, Hang Xu, Li Zhang

Large vision-language models (VLMs) have garnered increasing interest in autonomous driving areas, due to their advanced capabilities in complex reasoning tasks essential for highly autonomous vehicle behavior.

Autonomous Driving Decision Making

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PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

1 code implementation • ICCV 2023 • Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang

Recently, polar-based representation has shown promising properties in perceptual tasks.

3D Object Detection object-detection

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ONCE-3DLanes: Building Monocular 3D Lane Detection

2 code implementations • CVPR 2022 • Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang

We present ONCE-3DLanes, a real-world autonomous driving dataset with lane layout annotation in 3D space.

3D Lane Detection Autonomous Driving

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