Shadow Resistant Road Segmentation from a Mobile Monocular System
By José Manuel Álvarez, Antonio M. López, Ramón Baldrich. 2007
28 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Environmental Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ingmar Posner
- Dan Barnes
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- William P. Maddern
- Ronen Lerner
In Electrical and Electronic Engineering
In Environmental Engineering
- Ingmar Posner
- Dan Barnes
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- William P. Maddern
- Ronen Lerner
Citations in the corpus
- Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy (2016, methodology): “Traditional methods of camera-based drivable path estimation for road vehicles involve preprocessing steps to remove shadow and exposure artefacts [7], [8], extraction of low-level road and lane features [9], [10], fitting road and lane models to feature detections [11], [12], and temporal fusion of…”
- Overview of Environment Perception for Intelligent Vehicles (2017, methodology): “In [17], a region growing method was applied to road segmentation.”
- Recent progress in road and lane detection: a survey (2014, methodology): “A region growing algorithm was implemented in [49].”