Felix von Hundelshausen
2010
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Whom Felix von Hundelshausen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Felix von Hundelshausen overall
Papers from Felix von Hundelshausen's perspective
Ordered by how strongly the researchers Felix von Hundelshausen trusts endorse each paper. Same corpus, a different order for every researcher.
- A clustering method for efficient segmentation of 3D laser data
- Junior: The Stanford entry in the Urban Challenge
- Autonomous driving in urban environments: Boss and the Urban Challenge
- Discriminative learning of Markov random fields for segmentation of 3D scan data (Computer Vision and Pattern Recognition)
- Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion
- Mean Shift: A Robust Approach Toward Feature Space Analysis
- Survey of clustering algorithms
- Matrix computations
- Learning compact 3D models of indoor and outdoor environments with a mobile robot (Robotics Auton. Syst.)
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
Their papers
- Fast segmentation of 3D point clouds for ground vehicles (2010) — 444 citations