Survivability: Measuring and ensuring path diversity
By Lawrence H. Erickson, Steven M. LaValle. 2009
42 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Network Science & Complex Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
- Ashutosh Saxena
- Thorsten Joachims
- Luc Van Gool
- Ashesh Jain
- Abhinav Kumar Gupta
- Kristen Grauman
- Li Fei-Fei
- Dacheng Tao
In Network Science & Complex Systems
Citations in the corpus
- Learning Trajectory Preferences for Manipulators via Iterative Improvement (2013, background): “ Since our primary goal is to learn a score function on sampled set of trajectories we now describe our learning algorithm and for more details on sampling trajectories we refer interested readers to [11, 13]. 3When RRT becomes too slow, we switch to more efficient bidirectional-RRT. For even faster ”
- Contextual Sequence Prediction with Application to Control Library Optimization (2012, unknown): “The sub-sequence of trajectories is usually computed offline [11, 9].”
- Learning preferences for manipulation tasks from online coactive feedback (2015, methodology): “For more details on sampling trajectories we refer interested readers to the work by Erickson and LaValle [16], and Green and Kelly [19].”