[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"experts-list":3,"chains-groupcat":140,"experts-coverage":514,"tags-groups":516},{"list":4,"total":137,"page":138,"pageSize":139,"totalPages":138},[5,23,33,43,54,66,77,88,108,118],{"id":6,"name":7,"orgName":8,"school":9,"gender":10,"title":11,"degree":12,"honor":13,"position":13,"researchDirection":14,"intro":15,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":19,"nameValid":20,"tags":21,"tagNames":22},"f7b41fcb-f155-8c51-5461-4333dec388fd","刘占文","长安大学电子与控制工程学院","长安大学","女","教授","博士",null,"长期从事人工智能、计算机视觉与交通大模型研究，面向智能网联交通和车路具身系统，重点开展交通环境感知、场景认知、协同智能与自主测试研究。主要研究方向包括：1. 交通场景车路全要素时空解析；2. 车路系统端到端具身智能；3. 车路云一体化群智融合感知与协同控制；4. 交通数字孪生、具身系统测试场景生成与在环自主测评。课题组条件1.充足的纵向项目经费支撑（重点研发\u002F重点基金等纵向项目）2.算力平台和实操环境支撑（近百张高性能显卡及多类具身实验平台）3.培养路径制定（研究方向、论文以及代码指导、传帮带、会议资助）4.就业单位推荐（高等院校、科研院所、IT大厂）对学生的要求1.求知若渴，视学习为改变命运的核心动力；2.心态阳光，坚信办法总比困难多；3.基础扎实，具备独立分析与解决问题的底层能力；4.执行力强，愿意相信“先完成，再完美”的行动哲学。项目案例展示（1）无监督表征增强视觉识别面向复杂动态降质环境中视觉识别鲁棒性挑战，提出了一种无监督表征增强方法。基于深度通道先验，构建一个“即插即用”的无监督特征增强模块，从稀疏特征分布中提取紧凑且有效的特征表示，解决了图像中的空间稀疏性和通道差异性问题。在浅层表征空间中引入双学习架构，并通过两阶段的多对抗学习机制进行无监督特征校正，显著提升了现有基线模型在降质图像上的识别性能。（2）基于事件相机的高效交通目标检测针对事件流数据的高度空间稀疏和低信噪比特性，提出了基于稀疏Mamba的事件目标检测框架SMamba。基于活动事件和噪声事件的时空分布差异，设计了时空连续性评估模块以评估不同区域的信息含量，并在计算过程中自适应丢弃无事件和噪声区域；构建了信息量引导的空间扫描机制和基于全局空间的通道扫描机制，增强了模型的全局建模能力，在精度和效率之间达到了更好的平衡。（3）自动驾驶动态交通环境全要素感知面向开放域交通环境下稳健感知的挑战，提出了多任务层级联合的智能汽车复杂动态环境视觉解析框架，解决了远距离目标的精准检测、低感知精度下高相似物体的鲁棒识别和非一致场景下的多目标实时跟踪等问题，实现了可见光下交通场景全要素及可通行区域的精准感知；采用多传感器配置，攻克了多模态、多尺度数据帧间时空特征配准难的问题，构建了一种多模态融合的三维目标鲁棒检测方法，提高了复杂动态环境下全天候关键目标解析的鲁棒性。该技术应用于长安大学自主研发的信达号和知行合一无人车，斩获世界智能驾驶挑战赛实车赛与虚拟仿真赛道技术创新奖、争先奖及国家奖项5项；全国大学生工程训练综合能力竞赛智能汽车仿真赛项全国二等奖、省级特等奖4项。（4）复杂动态交通场景车辆微观轨迹预测面向真实交通场景中动静态目标遮挡、感知算法失效及感知范围限制带来的非完整轨迹预测挑战，构建了多尺度注意力头，从不同时间颗粒度并行提取轨迹的多尺度运动表征，缓解了缺失值对轨迹预测带来的负面影响；提出了连续性表征引导的多尺度融合模块，跨时间步计算轨迹的连续性表征，并将其用于运动表征的多尺度融合，极大地太提高了模型对非完整轨迹的预测精度，使模型能够更鲁棒的应用于真实交通场景。（a）模型框架图（b）预测结果可视化（5）城市交叉路口全息感知与数字孪生面向城市交叉路口交通场景全息感知与动态建模的挑战，提出了真实道路布局语义及参数提取与路段级-车道级运动轨迹流预测方法，基于三维仿真工具建立了道路场景的三维虚拟实体道路，实现了城市交叉口实时提取的轨迹流数据和相应的预测轨迹数据还原到实际交通运行环境的虚拟实体中，准确地描述中微观层面动态交通场景流数字孪生与模拟推演，使用轨迹预测结果填补了数字孪生物理实体到虚拟环境映射时延。具身实验平台展示①长安大学车联网与智能汽车试验场以及对应的数字孪生平台②智能网联测试车③可移动智能路侧杆④长安大学车联网与智能汽车试验场微缩仿真平台以及对应的数字孪生平台⑤系列微型无人系统⑥虚拟仿真平台往届毕业生去向百度，钉钉，法士特，长鑫科技，极氪汽车，西安建筑科技大学，军工研究所（保密单位），山东高速，北京万集，陕汽，腾讯（实习），字节跳动（实习）","刘占文，女，工学博士，三级教授，博士生导师，国家级青年人才，交通运输行业青年拔尖人才，现任长安大学机器人与具身智能学院副院长、深圳研究院副院长、陕西省车联网与智能汽车测试技术工程研究中心副主任、长安大学交通信息检测与控制工程实验室主任。研究方向聚焦于智能网联交通、车路具身系统及自主测试。以第一\u002F通讯作者在AAAI、ECCV、TMM、CommTR等国际权威刊物及顶级会议发表SCI论文30余篇，授权国际\u002F国家发明专利51项，参与制定多项国家及团体标准。主持国家重点研发计划项目课题、国家自然科学基金重点、面上及青年项目、陕西省“两链”融合重点专项等国家级、省部级科研项目20余项。获第十四届陕西省青年科技奖、陕西省科学技术进步奖一等奖3项、陕西省高等教育教学成果奖特等奖1项、中国公路学会科学技术奖一等奖、二等奖各1项。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1、期刊任职（1）《交通运输工程学报》青年编委；（2）《Journal of Intelligent and Connected Vehicles》Associate Editor；2、会议任职（1）IEEE智能交通系统国际会议青年学术委员会联合主席；（2）IEEE交通信息与安全国际会议执行副主席及论坛主席；（3）WTC第三届学部委员会交通工程学部交通感知与大数据学科交通系统智能感知技术委员会主席；（4）WTC第三届学部委员会公路工程学部智慧公路学科自动驾驶车协作技术委员会副主席；（5）IEEE机械与电子工程国际会议程序委员会联席主席；3、学会任职（1）中国图象图形学会视觉传感专业委员会委员；（2）中国汽车工程学会人工智能分会委员；（3）中国仿真学会数字试验与测试分委会理事；（4）中国公路学会自动驾驶工作委员会委员","陕西",100,false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fdzykzgcxy\u002Flzw\u002Flist.htm",true,[],[],{"id":24,"name":25,"orgName":8,"school":9,"gender":26,"title":27,"degree":12,"honor":13,"position":13,"researchDirection":28,"intro":29,"province":16,"completeness":17,"avatarAuthorized":18,"sourceUrl":30,"nameValid":20,"tags":31,"tagNames":32},"22f2cf70-6107-e556-4bc8-b4656eed2148","白璘","男","副教授","主要研究领域      低空具身智能感知课题组长期从事多模态智能感知、自主定位导航、空天任务载荷智能解译与智能无人系统自主作业研究，面向低空经济与GNSS拒止复杂环境，围绕无人机、无人车、履带机器人和四足机器人等平台，开展复杂目标感知、定位导航及空地协同巡检与测量研究。主要研究方向包括：（1）多模态任务载荷智能感知与复杂目标理解      研究SAR、红外、可见光、高光谱\u002F多光谱等任务载荷下的目标检测、跟踪与智能解译方法，重点关注复杂背景弱小目标感知、多模态融合、跨场景鲁棒性及边缘智能部署。（2）复杂环境无人平台自主定位导航      面向GNSS拒止、弱纹理、重复结构和跨视角差异等复杂环境，研究视觉定位、VIO\u002FLIO\u002FSLAM、多传感器融合、跨视角匹配、重定位与自主导航方法。（3）GNSS拒止复杂空间空地协同巡检与测量      面向隧道、涵洞、地下空间、大型厂房及交通基础设施等复杂场景，研究无人机、履带机器人和四足机器人的自主感知、协同巡检、缺陷识别、三维测量及多时相变化分析，并探索VLM\u002FAgent驱动的任务理解、规划与自主执行。       近年来，在 IEEE TGRS、IEEE JSTARS、IEEE GRSL 等期刊发表论文60余篇，多篇入选ESI高被引论文；承担和参与中央军委装备发展部“慧眼行动”、国家重点研发计划、国家自然科学基金、陕西省重点研发计划等科研项目，拥有多项发明专利和软件著作权。      课题组注重科研训练与工程实践融合，依托无人机、无人车、四足机器狗，履带式巡检机器人及边缘计算平台，培养学生在多模态目标检测跟踪、GNSS拒止视觉导航、机器人自主感知和边缘智能部署等方向开展研究与实践。课题组部分成果展示https:\u002F\u002Fspace.bilibili.com\u002F576172937\u002Fvideo全息感知与具身智能科研团队简介全息感知与具身智能-电子与控制工程学院实验条件课题组拥有小型无人机、行业无人机、机载光电吊舱、机载计算平台、SLAM轮式\u002F\u002F履带式机器人、无人车、激光雷达、深度相机、智能机械臂、3D打印机及多种嵌入式AI边缘计算平台，并配备 RTX4090 深度学习服务器和超算云服务器资源，可支撑无人机定位导航、目标检测跟踪、SLAM建图、多源感知融合和边缘智能部署等研究。人才培养特色课题组注重科研项目、论文成果、系统样机、学生竞赛和成果转化协同育人，鼓励学生围绕低空无人平台、交通基础设施巡检机器人、GNSS拒止视觉定位、机载小目标检测、边缘智能部署等方向开展科研训练与工程实践，着力培养学生的科研创新能力、工程实现能力和团队协作能力。核心理念：让学生变得更好。研究生招生方向：学术型：控制科学与工程（学科方向 模式识别与智能系统）；专业型：电子信息每年招收硕士研究生3-4名，欢迎对具身智能、深度学习、计算机视觉、机器人SLAM、嵌入式AI开发感兴趣的本科生、研究生加入。优先录取讲诚信、热爱科研、动手能力强的学生。课题组努力营造自由、开放、务实的学术环境，鼓励学生在真实科研项目和工程系统中提升能力、锤炼品质、形成方向。本课题组接收有意加入课题组深造的院內高年级本科生实习 。欢迎申请人邮件联系并随信附上个人简历。联系方式：linbai@chd.edu.cn毕业生去向：课题组毕业学生就职于山西省智慧交通研究院，中电20所，中航631研究所，中航工业电源，法士特，比亚迪智能驾驶研究部，奇瑞汽车自动驾驶研究部、中芯国际，青岛海尔股份有限公司等科研院所，大型企业。亦有部分同学去985高校继续攻读博士学位","白璘，男，1981年8月生，博士，副教授，硕士生导师、国际留学生导师，自动化专业责任教授。中国图象图形学学会会员、IEEE会员，陕西省科技厅项目评审专家、西安市科技专家。长期从事模式识别、智能信息处理、计算机视觉与具身智能感知等交叉方向的科学研究、人才培养和工程实践工作。       课题组面向低空经济、智慧交通、应急管理和特种场景智能感知等需求，围绕无人机、无人车、巡检机器人等具身智能系统，开展低空无人平台与交通基础设施具身智能感知技术研究，重点聚焦视觉定位导航、GNSS拒止融合定位、目标检测与跟踪、SLAM建图、边缘智能计算和交通基础设施智能巡检等方向，形成了“空天任务载荷智能感知—低空无人平台自主感知—边缘智能部署—典型场景应用验证”的研究特色。       近年来，课题组在 IEEE TGRS、IEEE JSTARS、IEEE GRSL 等国际高水平期刊及会议上发表论文60余篇，多篇入选 ESI 高被引论文；主持或参与中央军委装备发展部“慧眼行动”、国家重点研发计划、国家自然科学基金、陕西省重点研发计划等科研项目，获陕西省科学技术二等奖1项，出版教材2部，授权发明专利和软件著作权20余项。团队注重科研项目、系统样机、学生竞赛和成果转化协同育人，指导学生在“挑战杯”“互联网+”、中国大学生机械工程创新创意大赛、全国大学生电子设计竞赛等赛事中获得多项国家级、省级奖励。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                     1. 长期担任国内外高水平期刊审稿工作，包括Remote Sensing of Environment、ISPRS Journal of Photogrammetry and Remote Sensing、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Circuits and Systems for Video Technology、International Journal of Applied Earth Observation and Geoinformation、IEEE Transactions on Geoscience and Remote Sensing、电子与信息学报等","http:\u002F\u002Fjs.chd.edu.cn\u002Fdzykzgcxy\u002Fbl100\u002Flist.htm",[],[],{"id":34,"name":35,"orgName":36,"school":9,"gender":26,"title":27,"degree":12,"honor":13,"position":13,"researchDirection":37,"intro":38,"province":16,"completeness":39,"avatarAuthorized":18,"sourceUrl":40,"nameValid":20,"tags":41,"tagNames":42},"6c708292-28ea-e788-d705-3bfebd8830ed","蒋自强","长安大学材料科学与工程学院","研究方向介绍欢迎对无机发光材料与先进陶瓷制备技术感兴趣的同学加入我的课题组！目前主要的研究方向：以发光材料为核心，以新型陶瓷烧结技术为突破口，探索高性能功能陶瓷材料的制备与应用潜力。1. 无机发光材料的设计、研发与应用研究     发光材料，简单来说就是能够将外部能量（如光、电、热）转化为可见光的材料。它们广泛存在于LED照明、生物成像、辐射探测、安全防伪等领域。      我们关注的是如何从原子尺度设计发光中心（如稀土离子、过渡金属离子）与基体材料的相互作用，调控发光颜色、强度、寿命等关键性能，最终开发出更高效、更稳定、更环保的新型发光材料。能力养成：发光物理基础、光谱分析技术、材料结构-性能关系设计等。2. 功能陶瓷材料先进制备技术    传统的陶瓷烧结通常需要高温、长时间加热，不仅能耗高，而且难以控制晶粒长大和缺陷形成。    我们课题组重点探索新型陶瓷烧结方法（如放电等离子烧结、闪烧、两步烧结等），其核心思路是：新型制备技术与特定缺陷相互成就——新方法产生有益于性能的缺陷，而缺陷反过来促进烧结，为材料性能创造更多可能性。   通过工艺创新，我们不仅提升了发光材料的性能（如量子效率、热稳定性），还为陶瓷材料在柔性器件、透明陶瓷、复合结构等新兴方向的应用提供了可能。能力养成：先进陶瓷制备设备操作、微观结构调控策略、缺陷工程思想、工艺参数-结构-性能关系的系统研究方法","蒋自强，男，1984年生，甘肃天水人，副教授，硕士生导师。2005年本科毕业于兰州大学物理学院材料化学专业，2010年获得兰州大学工学博士学位，专业为材料物理与化学。主要从事无机光致发光材料的设计、制备与性能研究和功能陶瓷先进制备技术研究。 \n                                \n                                \n                                    \n                                         社会职务 \n                                    \n                                      中国稀土学会会员",91,"http:\u002F\u002Fjs.chd.edu.cn\u002Fclkxygcxy\u002Fjzq\u002Flist.htm",[],[],{"id":44,"name":45,"orgName":46,"school":9,"gender":26,"title":47,"degree":12,"honor":13,"position":13,"researchDirection":48,"intro":49,"province":16,"completeness":50,"avatarAuthorized":18,"sourceUrl":51,"nameValid":20,"tags":52,"tagNames":53},"1bcdf224-65ff-aadb-699f-53b5b13087f9","杨波","长安大学未来交通学院","讲师","人工智能赋能的多平台（卫星-无人机-车载-路侧）、多模态（可见光-高\u002F多光谱-红外）视觉感知与理解","杨波，博士\u002F博士后，中共党员，长安大学未来交通学院讲师。博士毕业于西安电子科技大学人工智能学院，师从吴金建教授（国家级青年人才）。主要从事多模态图像智能解译方面研究，在IEEE TNNLS、IEEE TIP、IEEE TGRS、IEEE TCYB、Neural Networks等中科院一区TOP期刊和IEEE ICME、IEEE IGARSS等领域旗舰国际会议上发表学术论文10余篇，获国家发明专利5项。主持中国博士后科学基金面上资助项目、陕西省自然科学基础研究计划青年项目（C类）、中央高校基本业务费项目等3项，作为核心成员参与GF科技173重点纵向项目，以及中国航天科工、中国BQ工业、中国资源卫星应用中心等单位横向项目。欢迎积极主动、有科研志向的同学与我邮件联系，参与我的研究，本人可以提供研究选题与思路、代码实现与验证、论文写作与修改的全流程指导。 \n                                \n                                \n                                    \n                                         社会职务 \n   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