Lane detection and tracking using B-Snake
By Yue Wang, Eam Khwang Teoh, Dinggang Shen. Image and Vision Computing, 2004
870 citations recorded by the source corpus.
Subfields: Automotive Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/3bc6e1ce39744bd1602fad5c895d63b064c1b643
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
- Mohan Manubhai Trivedi
- Long Chen
- Aharon Bar-Hillel
- Dan Levi
- Ronen Lerner
- Guy Raz
- Xiaolin Hu
- Xiang-Yang Li
In Computer Vision and Pattern Recognition
- Jian Yang
- Mohan Manubhai Trivedi
- Long Chen
- Xiang-Yang Li
- Dan Levi
- Aharon Bar-Hillel
- Ronen Lerner
- Guy Raz
Citations in the corpus
- Robust Lane Detection and Tracking in Challenging Scenarios (2008, methodology): “[7] require up to 4 s for detection and 2 frames/s for tracking on Intel Pentium III.”
- Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit (2020, background): “By making the parallel geometry assumption on a pair of traffic lines, the early works [12]–[14] mainly utilize handcrafted filters [6], [15]–[17] to extract line segments features followed by clustering the segments into different traffic lines.”
- Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation (2006, methodology): “This can be something as simple as straight lines or more complex clothoid [16] or spline models [17].”
- Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks (2019, methodology): “years, a number of lane-detection methods have been proposed with sophisticated performance as reported in the literatures. Among these methods, some represent the lane structure with geometry models [2], [3], some formulate lane Q. Zou and Y. Yue are with the School of Computer Science, Wuhan Unive”
- Perception, Planning, Control, and Coordination for Autonomous Vehicles (2017, background): “Another category is semi-parametric, which mainly consists of splines, such as B-Snake [105], Cubic splines [80], active contours [106], etc.”
- Recent progress in road and lane detection: a survey (2014, methodology): “splines and poly-lines [52,50,2,53]) or non-parametric (e.”
- A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios (2014, methodology): “To show the superiority of our methods, we shall now compare some results obtained from our algorithm and from the CHEVP algorithm [60].”