Detection of Drivable Corridors for Off-Road Autonomous Navigation
By Ara V. Nefian, Gary R. Bradski. 2006
43 citations recorded by the source corpus.
Subfields: Environmental Engineering, Ocean Engineering, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- Kazuya Takeda
- Alexander Carballo
- Ekim Yurtsever
- Ronen Lerner
In Ocean Engineering
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- Kazuya Takeda
- Alexander Carballo
- Ekim Yurtsever
- Ronen Lerner
In Signal Processing
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- Kazuya Takeda
- Alexander Carballo
- Ekim Yurtsever
- Ronen Lerner
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “[201] have been used, as well as non-parametric continuous models [207].”
- Overview of Environment Perception for Intelligent Vehicles (2017, methodology): “In [51], a hierarchical Bayesian network method was used to detect off road drivable”
- Recent progress in road and lane detection: a survey (2014, methodology): “One example in this direction is presented in [29], in which road segmentation is cast as parameter learning in a hierarchical Bayesian network.”
- A Hybrid Vision-Map Method for Urban Road Detection (2017, unknown): “Thus, the model may be less robust than parametric models but more flexible to adapt to the irregular shapes present in urban environments [26] or rural paths [27].”