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Mingchun Cao - IEEE Xplore Author Profile
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Mingchun Cao

Publications
2
Citations
6
Publications by Year
20242024
Co-Authors:
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Mingchun Cao

Affiliation

Department of Vehicle Engineering
Nanjing University of Aeronautics and Astronautics
Nanjing, China

Publication Topics

Biography

Mingchun Cao received the B.S. degree in vehicle engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2021, where she is currently pursuing the Ph.D. degree with the Department of Vehicle Engineering.,Her research interests include motion prediction and trajectory planning of intelligent vehicle.(Based on document published on 18 September 2023).
Publications
2
Citations
6
Publications by Year
20242024
Co-Authors:
Author's Published Works

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Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu

IEEE Transactions on Intelligent Transportation Systems
Year: 2024 | Volume: 25, Issue: 7 | Journal Article |
Cited by: Papers (5)
In the stage of man-machine cooperative driving, accurately predicting the trajectory of the ego vehicle can help intelligent system understand future risk and adjust the control authority of the man-machine, thereby improving the performance of the man-machine system and eliminating man-machine conflicts. However, existing high-performance trajectory prediction methods are more focused on fully a...Show More

Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu

Year: 2024 | Volume: 25, Issue: 7 | Journal Article |

Path–Speed Decoupling Planning Method Based on Risk Cooperative Game for Intelligent Vehicles

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu;Kunhao Xu

IEEE Transactions on Transportation Electrification
Year: 2024 | Volume: 10, Issue: 2 | Journal Article |
Cited by: Papers (1)
In order to reduce the solving dimension of trajectory planning process and improve the solving efficiency, the path and speed are often decoupled in the planning process of intelligent vehicles. However, under the existing serial decoupling planning framework, that is, the path is planned first and, then, the speed is planned, the collaborative relationship between path and speed is weak, and usu...Show More

Path–Speed Decoupling Planning Method Based on Risk Cooperative Game for Intelligent Vehicles

Ziyu Zhang;Chunyan Wang;Wanzhong Zhao;Mingchun Cao;Jinqiang Liu;Kunhao Xu

Year: 2024 | Volume: 10, Issue: 2 | Journal Article |

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