讲师

张逊逊

时间:2024/09/02
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姓名

张逊逊

性别




学历

博士

职称

讲师

学科

交通信息工程及控制

研究方向

车辆检测与跟踪、图像处理

教育背景

2005.09 - 2009.07 西北工业大学,自动化,本科

2009.09 - 2012.04 西北工业大学,控制理论与控制工程,硕士

2015.09 - 2018.06 长安大学,交通信息工程及控制,博士

工作经历

2012.04 - 2015.01 中航光电科技股份有限公司

2018.06 – 至今 西安建筑科技大学,讲师

科研项目

1.复杂交通场景下航拍双模图像的多车辆智能化融合跟踪研究,陕西省自然科学基础研究基金(2020JQ-685

期刊论文

1. Xunxun Zhang. ComS-YOLO: a   combinational and sparse network for detecting vehicles in aerial thermal   infra-red images[J], Journal of Applied Remote Sensing, 2024, 18(1):014508.

2.Xunxun Zhang. A complementary and   precise vehicle detection approach in RGB-T images via semi-supervised   transfer learning and decision-level fusion[J]. International Journal of   Remote Sensing, 2022, 43(1):196-214.

3.Xunxun Zhang. Vehicle fusion   detection in visible and infrared thermal images via spare network and   dynamic weight coefficient-based Dempster–Shafer evidence theory [J]. Journal   of Applied Remote Sensing, 2022.

4.Xunxun Zhang, Xu Zhu. Moving   vehicle detection in aerial infrared image sequences via fast image   registration and improved YOLOv3 network[J]. International Journal of Remote   Sensing, 2020, 41(11):4312-4335.

5.Xunxun Zhang, Xu Zhu. Efficient   and de-shadowing approach for multiple vehicles tracking in aerial video via image   segmentation and local region matching[J]. Journal of Applied Remote Sensing,   2020, 14(1):014503.

6.Xunxun Zhang, Xu Zhu and Li Li.   Computation of Time Delay Stability Margin for the Automated Vehicular   Platoon[J]. Complexity, 2020.

7.Xunxun Zhang, Xu Zhu. An   efficient and scene-adaptive vehicle detection algorithm in aerial images via   improved YOLOv3 framework[J]. ISPRS International Journal of Geo-Information,   2019, 8(11):1-11.

8.Zhang Xunxun, Xu Hongke. An   Efficient and Flexible Approach for Multiple Vehicles Tracking in the Aerial   Video Sequence[J], International Journal of Remote Sensing, 2018, 39(19):   6234–6265.

9.Zhang Xunxun, Xu Hongke, Fang   Jianwu. Multiple Vehicles Tracking in Aerial Video Sequence using Driver   Behavior Analysis and Improved Deterministic Data Association[J]. Journal of   Applied Remote Sensing, 2018, 12(1): 016014.

会议论文

1.Zhang   Xunxun. Vehicle Detection in the Aerial Infrared Images via an Improved   Yolov3 Network[C]// IEEE 4th International Conference on Signal and Image   Processing, 2019.

2.Zhang   Xunxun. An Accurate and Efficient Image Registration Algorithm in the Aerial   Infrared Images[C]// 2019 11th International Conference on Graphics and Image   Processing, 2019.

3.Zhang   Xunxun. Multiple vehicles tracking in the aerial video based on fast   incremental discriminative appearance learning[C]// 2020 12th International   Conference on Graphics and Image Processing, 2020.

4.Zhang   Xunxun. Dynamic weight coefficient based D-S evidence theory for vehicle   fusion detection in RGB-T   images[C]//IEEE7thInternationalConferenceonSignalandImageProcessing,2022.

5.Zhang   Xunxun. Vehicle detection in the infra-red thermal images based on a sparse neural   network[C]//2022 14th International Conference on Graphics and Image   Processing,2022.

参编标准

授权专利

1.一种航拍视频中运动车辆跟踪的局部数据关联方法.授权专利:ZL201811203369.7, 2021年授权,中国,已转让.

2.一种无人机航拍视频中含暂停状态的运动车辆检测方法.授权专利号:ZL201811204181.4, 2021年授权,中国,已转让.

3.一种车辆自适应融合检测方法及系统.申请受理号:CN202111667833.X,2021年受理,中 国,已公开.

4.一种考虑通信时滞的自主车辆队列稳定性控制方法及系统.申请受理号: CN202310629319.X,2023年受理,中国,已公开.

 

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联系方式
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