1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article

1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article

1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article

1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article

1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article

1. 代表性论文

研究方向涉及自动驾驶汽车环境感知与决策、驾驶行为分析与建模、人机交互等。累计发表学术论文30余篇，SCI/SSCI论文22篇（一作/通讯13篇）、EI论文16篇（一作/通讯8篇）。

中文代表作

[1] 金立生, 刘星辰, 王建强, 郭柏苍*, 韩卓桐, 安传强, 刘栋. 基于局部稀疏注意力和多模态特征融合的行人过街意图识别方法[J].中国公路学报,2025,38(07):247-261. DOI:10.19721/j.cnki.1001-7372.2025.07.019.

[2] 郭柏苍, 王胤霖, 谢宪毅, 金立生*, 韩广德. 基于人-车风险状态的人机共驾控制权决策方法[J]. 中国公路学报, 2022, 35(3), 153-165. DOI:10.19721/j.cnki.1001-7372.2022.03.013.

[3] 金立生,张洪瑜,郭柏苍*.基于特征增稳的混合固态激光雷达目标检测[J].汽车工程[J].汽车工程, 2024,46(06):1015-1024. DOI:10.19562/j.chinasae.qcgc.2024.06.008.

[4] 金立生, 纪丙东, 郭柏苍*.基于多层时空融合网络的驾驶人注意力预测[J].汽车工程,2023,45(05):759-767+745.DOI:10.19562/j.chinasae.qcgc.2023.05.005.

[5] 金立生,贺阳,王欢欢,霍震,谢宪毅,郭柏苍*. 基于自适应阈值DBSCAN的路侧点云分割算法[J]. 汽车工程, 2022, 44(7): 987-996.

[6] 郭柏苍,雒国凤,金立生,等.风险场景驱动的次任务驾驶行为对接管绩效的影响[J].同济大学学报(自然科学版),2024,52(06):875-885. DOI：10.11908/j.issn.0253-374x.24135

[7] 郭柏苍,雒国凤,金立生等.面向自动驾驶虚拟测试的变道切入场景库构建方法[J].吉林大学学报(工学版),2023,53(11):3130-3140. DOI:10.13229/j.cnki.jdxbgxb.20220029.

[8] 郭柏苍,谢宪毅,金立生,等.考虑多维驾驶特性的制动反应时间预测模型[J].汽车工程,2021,43(11):1683-1692+1719.DOI:10.19562/j.chinasae.qcgc.2021.11.014.

[9] 金立生,张舜然,郭柏苍*等.基于改进YOLOv4的轻量化路侧视角多目标检测算法[J].控制与决策, 2024,39(09):2885-2893. DOI:10.13195/j.kzyjc.2023.0545.

[10] 金立生,郭柏苍,王芳荣*,等.基于改进YOLOv3的车辆前方动态多目标检测算法[J].吉林大学学报(工学版),2021,51(04):1427-1436. DOI:10.13229/j.cnki.jdxbgxb20200588.

外文代表作

[1] Jin Lisheng, Ji Bingdong, Guo Baicang*, Wang Huanhuan, Han Zhuotong, Liu Xingchen. MTSF: Multi-scale Temporal-Spatial Fusion Network for Driver Attention Prediction[J]. IEEE Transactions on Intelligent Transportation Systems. 2025,26(2),1494-1509.
https://ieeexplore.ieee.org/document/10803899

[2] Jin Lisheng, Liu Xingchen, Guo Baicang*, Han Zhuotong, Wang Yinlin, Cao Yuan, Yang Xiao, Jian Shi. Impact of Non-driving Related Task Types, Request Modalities, and Automation on Driver Takeover: A Meta-Analysis[J]. Safety Science, 2025, 181: 106704.
https://doi.org/10.1016/j.ssci.2024.106704

[3] Guo Baicang, Shi Yewei*, Jin Lisheng, Yang Xiao, Li Menglin, Wei Qingsong, Luo Guofeng, Liu Jiaguo. CoFeatNet: An Efficient Multi-Modal Feature Extraction Network for Cooperative Vehicle-to-Infrastructure 3D Object Detection[J].IEEE Internet of Things Journal. 2026 February, Early Access.  
DOI: 10.1109/JIOT.2026.3662009

[4] Shi Yewei, Guo Baicang, Jin Lisheng, Xiao Yang, Hongyu Zhang, Xingchen Liu, Menglin Li. Towards Cognition-Driven 3D Object Detection: A LiDAR-Based Framework[J]. Knowledge-Based Systems, 2025: 115051.

https://doi.org/10.1016/j.knosys.2025.115051

[5] Guo Baicang, Wang Huanhuan, Jin Lisheng, Han Zhuotong, Zhang Shunran. DCM3-YOLOv4: A Real-Time Multi-Object Detection Framework[J]. Automotive Innovation,2024,7(2),283-299.
https://link.springer.com/article/10.1007/s42154-023-00258-9

[6] Guo Baicang, Jin Lisheng, Sun Dongxian, Shi Jian, Wang Fangfrong. Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance[J]. Transportation research part F: traffic psychology and behaviour, 2019, 64: 308-317.
https://doi.org/10.1016/j.trf.2019.05.013

[7] Guo Baicang, Liu Hao, Yang Xiao, Cao Yuan, Jin Lisheng*, Wang Yinlin. Multi-modal Information Fusion for Multi-task End-to-end Behavior Prediction in Autonomous Driving[J]. Neurocomputing. 2025, 129857.
https://doi.org/10.1016/j.neucom.2025.129857

[8] Yue Chenyi, Jin Lisheng, Guo Baicang*, Zhang Hongyu, Liu Junchen, Liu Xingchen, An Chuanqiang. SF3D-MDA: A Road User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information[J].IEEE Sensors Journal. 2025.
DOI: 10.1109/JSEN.2025.3584066

[9] Shi Jian, Le-Minh Kieu, Sun Dongxian, Tan Haiqiu, Gao Ming, Guo Baicang*, Wuhong Wang*. VRUFinder: A Real-Time Infrastructure-Sensors-Enabled Framework for Recognizing Vulnerable Road Users[J]. IEEE Sensors Journal.2024,24(6),8885-8901. https://ieeexplore.ieee.org/abstract/document/10414396

[10] Jin Lisheng, Liu Xingchen, Wang Yinlin, Han Zhuotong, Guo Baicang*, Luo Guofeng, Xu Xinliang. Multi-modality trajectory prediction with the dynamic spatial interaction among vehicles under connected vehicle environment[J]. Scientific Reports, 2024, 14, 2873.
https://www.nature.com/articles/s41598-024-53315-6?utm_source=researchgate.net&utm_medium=article