no code implementations • 3 May 2024 • Peijin Jia, Tuopu Wen, Ziang Luo, Mengmeng Yang, Kun Jiang, Zhiquan Lei, Xuewei Tang, Ziyuan Liu, Le Cui, Kehua Sheng, Bo Zhang, Diange Yang
Constructing high-definition (HD) maps is a crucial requirement for enabling autonomous driving.
1 code implementation • 26 Dec 2023 • Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
A map, as crucial information for downstream applications of an autonomous driving system, is usually represented in lanelines or centerlines.
1 code implementation • 25 Dec 2023 • Wenzhang Liu, Wenzhe Cai, Kun Jiang, Guangran Cheng, Yuanda Wang, Jiawei Wang, Jingyu Cao, Lele Xu, Chaoxu Mu, Changyin Sun
In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore.
no code implementations • 12 May 2023 • Weitao Zhou, Zhong Cao, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang
In this way, the DCP is designed to automatically adjust to be more conservative in low-confidence "long-tail" cases while keeping efficient otherwise.
no code implementations • 12 May 2023 • Weitao Zhou, Zhong Cao, Nanshan Deng, Kun Jiang, Diange Yang
By constraining the uncertainty, the DRL model's performance is always greater than that of a baseline policy.
no code implementations • 7 May 2023 • Jinyu Miao, Kun Jiang, Yunlong Wang, Tuopu Wen, Zhongyang Xiao, Zheng Fu, Mengmeng Yang, Maolin Liu, Diange Yang
High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks.
no code implementations • 2 Mar 2023 • Yining Shi, Kun Jiang, Jiusi Li, Junze Wen, Zelin Qian, Mengmeng Yang, Ke Wang, Diange Yang
Grid-centric perception is a crucial field for mobile robot perception and navigation.
1 code implementation • 19 Feb 2023 • Yining Shi, Kun Jiang, Ke Wang, Jiusi Li, Yunlong Wang, Diange Yang
This paper investigates multi-sensor spatio-temporal fusion strategies for continuous occupancy prediction in a systematic manner.
no code implementations • 25 Aug 2022 • Taohua Zhou, Yining Shi, Junjie Chen, Kun Jiang, Mengmeng Yang, Diange Yang
A novel method that realizes the feature-level fusion under the bird's-eye view (BEV) for a better feature representation is proposed.
no code implementations • 2 Jul 2022 • Weitao Zhou, Zhong Cao, Yunkang Xu, Nanshan Deng, Xiaoyu Liu, Kun Jiang, Diange Yang
To this end, this work proposes a trajectory planner to consider the prediction model uncertainty arising from insufficient data for safer performance.
2 code implementations • 29 Jun 2022 • Yining Shi, Jingyan Shen, Yifan Sun, Yunlong Wang, Jiaxin Li, Shiqi Sun, Kun Jiang, Diange Yang
Our novel sparse feature sampling module only utilizes local 2D region of interest (RoI) features calculated by the projection of 3D query boxes for further box refinement, leading to a fully-convolutional and deployment-friendly pipeline.
Ranked #8 on Robust Camera Only 3D Object Detection on nuScenes-C
no code implementations • CVPR 2022 • Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang
In this paper, we propose a novel Spatial-Temporal Integrated network with Bidirectional Enhancement, BE-STI, to improve the temporal motion prediction performance by spatial semantic features, which points out an efficient way to combine semantic segmentation and motion prediction.
no code implementations • 23 Dec 2021 • Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang, Yunlong Wang, Diange Yang
The accelerating development of autonomous driving technology has placed greater demands on obtaining large amounts of high-quality data.
no code implementations • 29 Apr 2021 • Kun Jiang, Zhaoli Liu, Zheng Liu, Qindong Sun
With the learned analysis dictionary, test samples can be transformed into a sparse subspace for classification efficiently.
no code implementations • 11 Mar 2021 • Xingyu Jiang, Mingyang Qin, Xinjian Wei, Zhongpei Feng, Jiezun Ke, Haipeng Zhu, Fucong Chen, Liping Zhang, Li Xu, Xu Zhang, Ruozhou Zhang, Zhongxu Wei, Peiyu Xiong, Qimei Liang, Chuanying Xi, Zhaosheng Wang, Jie Yuan, Beiyi Zhu, Kun Jiang, Ming Yang, Junfeng Wang, Jiangping Hu, Tao Xiang, Brigitte Leridon, Rong Yu, Qihong Chen, Kui Jin, Zhongxian Zhao
Iron selenide (FeSe) - the structurally simplest iron-based superconductor, has attracted tremendous interest in the past years.
Superconductivity
no code implementations • 8 Mar 2021 • Zuowei Liang, Xingyuan Hou, Wanru Ma, Fan Zhang, Ping Wu, Zongyuan Zhang, Fanghang Yu, J. -J. Ying, Kun Jiang, Lei Shan, Zhenyu Wang, X. -H. Chen
The transition-metal-based kagome metals provide a versatile platform for correlated topological phases hosting various electronic instabilities.
Superconductivity Strongly Correlated Electrons