Search Results for author: Xuemeng Yang

Found 11 papers, 7 papers with code

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

1 code implementation6 Feb 2024 Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi

With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering.

Autonomous Driving Neural Rendering +1

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

1 code implementation9 Nov 2023 Licheng Wen, Xuemeng Yang, Daocheng Fu, XiaoFeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, Yu Qiao

This has been a significant bottleneck, particularly in the development of common sense reasoning and nuanced scene understanding necessary for safe and reliable autonomous driving.

Autonomous Driving Common Sense Reasoning +4

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion

1 code implementation27 Jun 2023 Jianbiao Mei, Yu Yang, Mengmeng Wang, Tianxin Huang, Xuemeng Yang, Yong liu

However, how to effectively exploit the relationships between the semantic context in semantic segmentation and geometric structure in scene completion remains under exploration.

Autonomous Driving Scene Understanding +1

Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds

1 code implementation23 Sep 2021 Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong liu, Wanlong Li, Feng Wen, Hongbo Zhang

Specifically, the network takes a raw point cloud as input, and merges the features from the segmentation branch into the completion branch hierarchically to provide semantic information.

3D Semantic Scene Completion 3D Semantic Segmentation +3

RFNet: Recurrent Forward Network for Dense Point Cloud Completion

no code implementations ICCV 2021 Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong liu

The RFE extracts multiple global features from the incomplete point clouds for different recurrent levels, and the FDC generates point clouds in a coarse-to-fine pipeline.

Point Cloud Completion

Semantic Graph Based Place Recognition for 3D Point Clouds

1 code implementation26 Aug 2020 Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong liu, Wanlong Li, Feng Wen

First, we propose a novel semantic graph representation for the point cloud scenes by reserving the semantic and topological information of the raw point cloud.

Graph Matching Graph Similarity

Collision-free Trajectory Planning for Autonomous Surface Vehicle

no code implementations20 May 2020 Licheng Wen, Jiaqing Yan, Xuemeng Yang, Yong liu, Yong Gu

We apply a numerical optimization method in the back-end to generate the trajectory.

Robotics

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