李穎，女，北京理工大學機械與車輛學院預聘助理教授、博士生導師，擔任多個國際期刊審稿人，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，北京理工大學，機械與車輛學院，預聘助理教授（副研究員）

2020/08-2021/03，清華大學，車輛與運載學院，訪問博士

2017/09-2021/01，滑鐵盧大學，環(huán)境院&工程院，博士

2015/09-2017/06，武漢大學，遙感信息工程學院，工學碩士

2010/09-2014/06，合肥工業(yè)大學，測繪工程系，工學學士

自動駕駛感知，多傳感器融合感知，移動激光掃描，點云處理，幾何和語義建模，高精度地圖。主要涉及以應用：

點云分割：預測包括室內(nèi)和室外環(huán)境在內(nèi)的大規(guī)模點云數(shù)據(jù)的語義標簽；

目標檢測：使用點云的幾何位置及其方向來檢測或定位預定義目標類別的實例

多傳感器目標定位和檢測：使用融合的激光點云和攝像機視覺數(shù)據(jù)檢測和定位道路對象

歡迎具有對自動駕駛感知研究方向感興趣的同學報考碩士研究生。

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.

李穎

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.