Lane Geometry Estimation
Lane Geometry Estimation is a computational method in computer vision that models the spatial configuration and curvature of road lanes from sensor data by fitting geometric primitives—such as polynomials, splines, or parametric curves—to detected lane markings, thereby enabling precise localization and trajectory planning in autonomous driving systems.
121
Publications
4.9K
Citations
379
Authors
154
Institutions
Publications per year
2017–2026
34
Parents
121
A novel lane detection based on geometrical model and Gabor filter
Shengyan Zhou, Yanhua Jiang, Junqiang Xi et al. · 2010 · 232 citations
3D lane detection system based on stereovision
Sergiu Nedevschi, Rolf Schmidt, T. Graf et al. · 2005 · 147 citations
1–5 of 121
379
6
h-index
5
h-index
Toyota Central Research and Development Laboratories (Japan), Japan
3 publications · 109 citations
3
h-index
3
h-index
3
h-index
1–5 of 379
154

Linköping University
Linköping, Sweden
6 h-index
12 publications
324 citations
Volvo (Sweden)
Gothenburg, Sweden
5 h-index
6 publications
153 citations
Volvo Cars (Sweden)
Gothenburg, Sweden
5 h-index
6 publications
153 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
12 publications
419 citations
Daimler (Germany)
Stuttgart, Germany
4 h-index
11 publications
210 citations
Samsung (South Korea)
Seoul, South Korea
4 h-index
8 publications
422 citations
Toyota Central Research and Development Laboratories (Japan)
Nagakute-shi, Japan
3 h-index
13 publications
553 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
706 citations
1–8 of 154
10 publications · 648 citations
10
h-index
2 publications · 162 citations
2
h-index
2 publications · 86 citations
2
h-index
2 publications · 22 citations
2
h-index
2 publications · 33 citations
2
h-index
1–5