Lane Detection With Moving Vehicles in the Traffic Scenes
By Hsu-Yung Cheng, Bor-Shenn Jeng, Pei-Ting Tseng, Kuo-Chin Fan. 2006
233 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition
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
- Jacob Lambert
- Alexander Carballo
- Ekim Yurtsever
- Kazuya Takeda
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
In Computer Vision and Pattern Recognition
- Ekim Yurtsever
- Alexander Carballo
- Jacob Lambert
- Aharon Bar-Hillel
- Hao Zhu
- Dan Levi
- Henry Leung
- Kazuya Takeda
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “Color statistics and intensity information [204], gradient information [205], and various other filters”
- Cyber Threats Facing Autonomous and Connected Vehicles: Future Challenges (2017, background): “There are many other applications of cameras in CAVs such as lane detection [35], [36], traffic sign recognition [37], headlight detection [38], etc.”
- Overview of Environment Perception for Intelligent Vehicles (2017, background): “changes, were proposed to eliminate the shadow effect [15], [16], [17].”
- A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios (2014, methodology): “To solve this problem, Cheng et al. [11] applied a color-information-based method that utilizes size, shape, and motion information to distinguish occlusions from real lane marks.”
- Recent progress in road and lane detection: a survey (2014, methodology): “In order to circumvent this illumination effect some works [5, 30,49] perform a variety of color-space transformations to HSL, LAB, YCbCr and others.”