Chun-Lin Chen
Aerospace Engineering · 2021
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 15 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Chun-Lin Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chun-Lin Chen's perspective
Ordered by how strongly the researchers Chun-Lin Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- Vision meets robotics: The KITTI dataset
- A Method for Registration of 3-D Shapes
- LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain (IEEE/RJS International Conference on Intelligent RObots and Systems)
- 3D is here: Point Cloud Library (PCL)
- A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping (Italian National Conference on Sensors)
- LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping (IEEE/RJS International Conference on Intelligent RObots and Systems)
- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- F-LOAM : Fast LiDAR Odometry and Mapping (2021) — 390 citations