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246 results on '"Wang, Mingkun"'

2. FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding

Author

Wang, Mingkun, Ren, Xiaoguang, Jin, Ruochun, Li, Minglong, Zhang, Xiaochuan, Yu, Changqian, Wang, Mingxu, and Yang, Wenjing

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Most prior motion prediction endeavors in autonomous driving have inadequately encoded future scenarios, leading to predictions that may fail to accurately capture the diverse movements of agents (e.g., vehicles or pedestrians). To address this, we propose FutureNet, which explicitly integrates initially predicted trajectories into the future scenario and further encodes these future contexts to enhance subsequent forecasting. Additionally, most previous motion forecasting works have focused on predicting independent futures for each agent. However, safe and smooth autonomous driving requires accurately predicting the diverse future behaviors of numerous surrounding agents jointly in complex dynamic environments. Given that all agents occupy certain potential travel spaces and possess lane driving priority, we propose Lane Occupancy Field (LOF), a new representation with lane semantics for motion forecasting in autonomous driving. LOF can simultaneously capture the joint probability distribution of all road participants' future spatial-temporal positions. Due to the high compatibility between lane occupancy field prediction and trajectory prediction, we propose a novel network with future context encoding for the joint prediction of these two tasks. Our approach ranks 1st on two large-scale motion forecasting benchmarks: Argoverse 1 and Argoverse 2., Comment: 10 pages

Published
2024

6. GANet: Goal Area Network for Motion Forecasting

Author

Wang, Mingkun, Zhu, Xinge, Yu, Changqian, Li, Wei, Ma, Yuexin, Jin, Ruochun, Ren, Xiaoguang, Ren, Dongchun, Wang, Mingxu, and Yang, Wenjing

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Predicting the future motion of road participants is crucial for autonomous driving but is extremely challenging due to staggering motion uncertainty. Recently, most motion forecasting methods resort to the goal-based strategy, i.e., predicting endpoints of motion trajectories as conditions to regress the entire trajectories, so that the search space of solution can be reduced. However, accurate goal coordinates are hard to predict and evaluate. In addition, the point representation of the destination limits the utilization of a rich road context, leading to inaccurate prediction results in many cases. Goal area, i.e., the possible destination area, rather than goal coordinate, could provide a more soft constraint for searching potential trajectories by involving more tolerance and guidance. In view of this, we propose a new goal area-based framework, named Goal Area Network (GANet), for motion forecasting, which models goal areas rather than exact goal coordinates as preconditions for trajectory prediction, performing more robustly and accurately. Specifically, we propose a GoICrop (Goal Area of Interest) operator to effectively extract semantic lane features in goal areas and model actors' future interactions, which benefits a lot for future trajectory estimations. GANet ranks the 1st on the leaderboard of Argoverse Challenge among all public literature (till the paper submission), and its source codes will be released.

Published
2022

29. Facile Preparation of MXene Decorated PANI/Lignosulfonate Nanocomposite Film Electrodes for Electrochemical Supercapacitors.

Author

Wang, Mingkun, Xie, Hangming, and He, Zhiwei

Subjects
*SUPERCAPACITOR electrodes, *ELECTROCHEMICAL electrodes, *NANOCOMPOSITE materials, *SUPERCAPACITORS, *COMPOSITE materials, *POLYANILINES, *CHEMICAL stability
Abstract

MXenes are a large family of two‐dimensional transition‐metal carbides, nitrides, and carbonitrides with large surface area and metal conductivity. They have not been widely used as electrodes in the field of supercapacitors because of their low specific capacity, poor chemical stability, and tendency towards self‐stacking. Herein, a three‐component nanocomposite film electrode has been successfully achieved, consisting of MXene nanosheets, polyaniline (PANI), and lignosulfonate (LGS). The PANI‐LGS nanocomposite was prepared through the oxidative polymerization of PANI in the presence of LGS, and then MXene decorated PANI/LGS (labeled as MPL) nanocomposite films were facilely self‐assembled via a vacuum‐assisted filtration by using the dispersion. Compared with pure PANI and PANI‐LGS, the MPL nanocomposite film electrode possesses better conductivity, showing a high specific capacitance of 559 F/g at a scan rate of 5 mV/s and a capacity retention rate of 92.2 % after 1000 cycles at a current density of 10 A/g. This study demonstrates that the doping of LGS and MXene can significantly improve the electrochemical performance of PANI‐based composite materials. Thus, the convenient preparation and excellent electrochemical performance of MPL show great potentials in the application of high‐performance electrodes for supercapacitors. [ABSTRACT FROM AUTHOR]

Published
2024
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32. The difference in patient-centered medical experiences between public fertility care and private fertility care in China: A multicenter cross-sectional study

Author

Liang, Jiangying, primary, Jie, Qiuling, additional, Xu, Wen, additional, Li, Juan, additional, Fu, Mianai, additional, Liu, Ping, additional, Chen, Yan, additional, Wang, Xiaoman, additional, Li, Xianmei, additional, Li, Zhaoping, additional, Wang, Mingkun, additional, Kang, Jinyu, additional, Sun, Fei, additional, Li, Qi, additional, and Ma, Yanlin, additional

Published
2024
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40. Hepatic macrophages play critical roles in the establishment and growth of hydatid cysts in the liver during Echinococcus granulosus sensu stricto infection

Author

Wang, Hui, primary, Yu, Qian, additional, Wang, Mingkun, additional, Hou, Jiao, additional, Wang, Maolin, additional, Kang, Xuejiao, additional, Hou, Xinling, additional, Li, Dewei, additional, Rousu, Zibigu, additional, Jiang, Tiemin, additional, Li, Jing, additional, Wen, Hao, additional, and Zhang, Chuanshan, additional

Published
2023
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47. GANet: Goal Area Network for Motion Forecasting

Author

Wang, Mingkun, primary, Zhu, Xinge, additional, Yu, Changqian, additional, Li, Wei, additional, Ma, Yuexin, additional, Jin, Ruochun, additional, Ren, Xiaoguang, additional, Ren, Dongchun, additional, Wang, Mingxu, additional, and Yang, Wenjing, additional

Published
2023
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