PhD Candidate
Research Interest
My research interests focus on mobile laser scanning, point cloud processing, autonomous driving, geometric and semantic modelling, high-definition map, with application on the following topics:
- Point cloud segmentation: predict per-point semantic label for large scale point cloud data, including indoor and outdoor environments; study graph-based deep neural networks to hierarchically leverage geometric feature from point sets
- Object detection from point cloud: detect or locate the instances of predefined categories with the geometric location and their orientation for point clouds; learn geometric graph CNN to learn object-based features
- Multi-sensor object localization and detection: detect and localize road objects using fused LiDAR and camera data; learn the skill of 2D and 3D data fusion in different level; master and utilize the merits of different sensor data to locate and detect road objects accurately and effectively
Education
- B.E., Surveying and Mapping, Hefei University of Technology, China, 2014.
- M.E., Surveying and Mapping, Wuhan University, China, 2017.
Publications
Journal Papers
- 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. (first co-author)
- Ma, L., Li, Y., Li, J., Zhong, Z. and Chapman, M.A. 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, 2019.
Journal Papers under Review
- Li, Y., Ma, L., Zhong, Z., Liu, F., Cao, D. and Li, J. Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. Submitted to: IEEE Transactions on Neural Networks and Learning Systems, 2019.
- Li, Y., Ma, L., Zhong, Z., Cao, D. and Li, J. TGNet: Geometric Graph CNN on 3D Point Cloud Segmentation. Submitted to: IEEE Transactions on Geoscience and Remote Sensing, minor revision, 2019.
Conference Papers
- Li, Y., Ma, L., Huang, Y. and Li, J. Segment-Based Traffic Sign Detection from Mobile Laser Scanning Data. IEEE International Geoscience and Remote Sensing Symposium, pp. 4607-4610, 2018.
- Li, Y., Fan, J., Huang, Y. and Chen, Z., 2016. LiDAR-incorporated Traffic Sign Detection from Video Log Images of Mobile Mapping System. International Archives of the Photogrammetry, Remote Sensing Spatial Information Sciences, pp:41, 2016.
- Wang, Y., Li, Y., Zhang, L. and Huang, Y. Vehicle Detection from Very-High-Resolution (VHR) Aerial Imagery Using Attribute Belief Propagation (ABP), SPIE Remote Sensing, pp: 100080Y, 2016.
- Wang, Y., Wang, G., Li, Y. and Huang, Y. Vehicle Detection of Aerial Image Using TV-L1 Texture Decomposition. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp: 481-488, 2016.