李穎

李穎，女，北京理工大學(xué)機(jī)械與車輛學(xué)院預(yù)聘助理教授、博士生導(dǎo)師，擔(dān)任多個(gè)國(guó)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(xué)，機(jī)械與車輛學(xué)院，預(yù)聘助理教授（副研究員）

2020/08-2021/03，清華大學(xué)，車輛與運(yùn)載學(xué)院，訪問(wèn)博士

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

2015/09-2017/06，武漢大學(xué)，遙感信息工程學(xué)院，工學(xué)碩士

2010/09-2014/06，合肥工業(yè)大學(xué)，測(cè)繪工程系，工學(xué)學(xué)士

自動(dòng)駕駛感知，多傳感器融合感知，移動(dòng)激光掃描，點(diǎn)云處理，幾何和語(yǔ)義建模，高精度地圖。主要涉及以應(yīng)用：

點(diǎn)云分割：預(yù)測(cè)包括室內(nèi)和室外環(huán)境在內(nèi)的大規(guī)模點(diǎn)云數(shù)據(jù)的語(yǔ)義標(biāo)簽；

目標(biāo)檢測(cè)：使用點(diǎn)云的幾何位置及其方向來(lái)檢測(cè)或定位預(yù)定義目標(biāo)類別的實(shí)例

多傳感器目標(biāo)定位和檢測(cè)：使用融合的激光點(diǎn)云和攝像機(jī)視覺(jué)數(shù)據(jù)檢測(cè)和定位道路對(duì)象

歡迎具有對(duì)自動(dòng)駕駛感知研究方向感興趣的同學(xué)報(bào)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.