李颖

李颖，女，北京理工大学机械与车辆学院预聘助理教授、博士生导师，担任多个国际期刊审稿人，包括: IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Geoscience and Remote Sensing, IEEE Intelligent Transportation Systems Magazine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Geomatica.

2021/03-至今，北京理工大学，机械与车辆学院，预聘助理教授（副研究员）

2020/08-2021/03，清华大学，车辆与运载学院，访问博士

2017/09-2021/01，滑铁卢大学，环境院&工程院，博士

2015/09-2017/06，武汉大学，遥感信息工程学院，工学硕士

2010/09-2014/06，合肥工业大学，测绘工程系，工学学士

自动驾驶感知，多传感器融合感知，移动激光扫描，点云处理，几何和语义建模，高精度地图。主要涉及以应用：

点云分割：预测包括室内和室外环境在内的大规模点云数据的语义标签；

目标检测：使用点云的几何位置及其方向来检测或定位预定义目标类别的实例

多传感器目标定位和检测：使用融合的激光点云和摄像机视觉数据检测和定位道路对象

欢迎具有对自动驾驶感知研究方向感兴趣的同学报考硕士研究生。

Li, Y., Ma, L., Zhong, Z., Liu, F., Cao, D*. and Li, J*. Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. IEEE Transactions on Neural Networks and Learning Systems, 2020, doi:10.1109/TNNLS.2020.3015992.

Li, Y., Ma, L., Tan, W., Sun, C., Cao, D*., Li, J*. GRNet: Geometric relation network for 3D object detection from point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 165, 2020, Pages 43-53,ISSN 0924-2716.

李颖

Li, Y., Ma, L., Zhong, Z., Cao, D. and Li, J*. TGNet: Geometric Graph CNN on 3D Point Cloud Segmentation. in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3588-3600, May 2020.

Cui, Y., Chen, R., Chu, W., Chen, L., Tian, D., Li, Y., Cao, D., 2020. Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review, IEEE Transactions on Intelligent Transportation Systems, accepted

Ma, L., Li, Y., Li, J*., Yu, Y., Marcato, J., Goncalves, W., Chapman, M., 2020. Capsule-based networks for road marking extraction and classification from mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2020.2990120.

Sun, C., Vianney, J. M., Li, Y., Chen, L., Li, L., Wang, F., Cao, D*., 2020. Proximity based automatic data annotation for autonomous driving. IEEE/CAA Journal of Automatica Sinica.

Ma, L., Li, Y., Li, J*., Tan, W., Yu, Y., Chapman, M., 2020. Multi-scale point-wise convolutional neural networks for 3D object segmentation from LiDAR point clouds in large-scale urban environments, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2019.2961060.

Ma, L., Li, Y., Li, J*., Zhong, Z. and Chapman, M.A., 2019. Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(5), pp.1572-1586.

Ma, L#., Li, Y#., Li, J*., Wang, C., Wang, R. and Chapman, M.A. Mobile laser scanned point-clouds for road object detection and extraction: A review. Remote Sensing, 10(10), pp.1531, 2018.