Lees, D.E.B.[David E. B.],
Merchant, J.[John],
Passive range measurement apparatus and method,
US_Patent4,695,959, Sep 22, 1987
WWW Link. Motion sensor gives ground plane, distance from image position.
BibRef
8709
Wang, L.L., and
Tsai, W.H.,
Camera Calibration by Vanishing Lines for 3-D Computer Vision,
PAMI(13), No. 4, April 1991, pp. 370-376.
IEEE DOI
BibRef
9104
And:
Computing Camera Parameters Using Vanishing-Line
Information from a Rectangular Parallelepiped,
MVA(3), No. 3, 1990, pp. 129-141.
Vanishing Points. Related to their other calibration papers (see above and
applications). Generate the vanishing line of the ground plane
and derive the camera parameters using a known hexagonal target.
BibRef
Li, F.X.[Fu-Xing],
Brady, M.[Michael],
Modeling the Ground Plane Transformation for
Real-Time Obstacle Detection,
CVIU(71), No. 1, July 1998, pp. 137-152.
DOI Link
BibRef
9807
Arrospide, J.,
Salgado, L.,
Nieto, M.,
Mohedano, R.,
Homography-based ground plane detection using a single on-board camera,
IET-ITS(4), No. 2, 2010, pp. 149-160.
DOI Link
1204
See also On-board robust vehicle detection and tracking using adaptive quality evaluation.
BibRef
Kwon, J.,
Dragon, R.,
Van Gool, L.J.,
Joint Tracking and Ground Plane Estimation,
SPLetters(23), No. 11, November 2016, pp. 1514-1517.
IEEE DOI
1609
Markov processes
BibRef
Marcon dos Santos, G.A.[Gilberto Antonio],
Ferrão, V.T.[Victor Terra],
Noronha Vinhal, C.D.[Cassio Dener],
da Cruz Junior, G.[Gelson],
Fast algorithm for real-time ground extraction from unorganized
stereo point clouds,
PRL(84), No. 1, 2016, pp. 192-198.
Elsevier DOI
1612
Ground extraction
BibRef
Wang, K.[Kangru],
Qu, L.[Lei],
Chen, L.[Lili],
Li, J.[Jiamao],
Gu, Y.Z.[Yu-Zhang],
Zhu, D.C.[Dong-Chen],
Zhang, X.L.[Xiao-Lin],
Ground Plane Detection with a New Local Disparity Texture Descriptor,
IEICE(E100-D), No. 10, October 2017, pp. 2664-2668.
WWW Link.
1710
BibRef
López-Cifuentes, A.,
Escudero-Viñolo, M.,
Bescós, J.,
Automatic Semantic Parsing of the Ground Plane in Scenarios Recorded
With Multiple Moving Cameras,
SPLetters(25), No. 10, October 2018, pp. 1495-1499.
IEEE DOI
1810
cameras, feature extraction, image motion analysis,
image segmentation, image sequences, object detection,
video surveillance
BibRef
Luo, Z.,
Mohrenschildt, M.V.,
Habibi, S.,
A Probability Occupancy Grid Based Approach for Real-Time LiDAR
Ground Segmentation,
ITS(21), No. 3, March 2020, pp. 998-1010.
IEEE DOI
2003
Laser radar, Real-time systems,
Autonomous vehicles, Measurement by laser beam,
ground segmentation
BibRef
Zhang, X.,
Gao, Y.,
Chen, J.,
Zhang, K.,
An Efficient Method to Recover Relative Pose for Vehicle-Mounted
Cameras Under Planar Motion,
SMCS(51), No. 2, February 2021, pp. 1138-1148.
IEEE DOI
2101
Cameras, Approximation algorithms, Pose estimation, Sensors,
Land vehicles, Wheels, Absolute scale, planar motion constraint,
two-view geometric model
BibRef
Huang, W.X.[Wei-Xin],
Liang, H.W.[Hua-Wei],
Lin, L.L.[Ling-Long],
Wang, Z.L.[Zhi-Ling],
Wang, S.B.[Shao-Bo],
Yu, B.[Biao],
Niu, R.X.[Run-Xin],
A Fast Point Cloud Ground Segmentation Approach Based on
Coarse-To-Fine Markov Random Field,
ITS(23), No. 7, July 2022, pp. 7841-7854.
IEEE DOI
2207
Laser radar, Feature extraction, Real-time systems,
Classification algorithms, Surface topography, Roads, real-time
BibRef
Nishimura, M.[Mai],
Nobuhara, S.[Shohei],
Nishino, K.[Ko],
View Birdification in the Crowd: Ground-Plane Localization from
Perceived Movements,
IJCV(131), No. 8, August 2023, pp. 2015-2031.
Springer DOI
2307
BibRef
Zhou, Y.S.[Yun-Song],
Liu, Q.[Quan],
Zhu, H.Z.[Hong-Zi],
Li, Y.Z.[Yun-Zhe],
Chang, S.[Shan],
Guo, M.[Minyi],
Exploiting Ground Depth Estimation for Mobile Monocular 3D Object
Detection,
PAMI(47), No. 4, April 2025, pp. 3079-3093.
IEEE DOI
2503
Cameras, Transformers, Feature extraction, Detectors, Accuracy,
Object detection, Depth measurement, Robustness, Transformer cores,
autonomous driving
BibRef
Ghose, S.[Shuvozit],
Chowdhury, P.N.[Pinaki Nath],
Roy, P.P.[Partha Pratim],
Pal, U.[Umapada],
Modeling Extent-of-Texture Information for Ground Terrain Recognition,
ICPR21(4766-4773)
IEEE DOI
2105
Code, Terrain.
WWW Link. Pairwise error probability, Image recognition, Shape,
Message passing, Feature extraction, Data mining, Task analysis
BibRef
Hickson, S.,
Raveendran, K.,
Fathi, A.,
Murphy, K.,
Essa, I.,
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal
Prediction,
GMDL19(4065-4074)
IEEE DOI
2004
image colour analysis, learning (artificial intelligence),
shared model, synthetic data, ground truth surface normals, 3d prediction
BibRef
van Crombrugge, I.[Izaak],
Ben Azza, I.[Ibrahim],
Penne, R.[Rudi],
van Barel, G.[Gregory],
Vanlanduit, S.[Steve],
Fast Ground Detection for Range Cameras on Road Surfaces Using a
Three-Step Segmentation,
ACIVS17(479-490).
Springer DOI
1712
BibRef
Belkhouche, Y.[Yassine],
Duraisamy, P.[Prakash],
Buckles, B.[Bill],
Ground Extraction from Terrestrial LiDAR Scans Using 2D-3D Neighborhood
Graphs,
ISVC15(II: 655-663).
Springer DOI
1601
BibRef
Xu, H.[Hang],
Li, K.[Kan],
Lv, F.[Fu_Yu],
Pei, J.M.[Jian-Meng],
3D Depth Perception from Single Monocular Images,
MMMod15(I: 510-521).
Springer DOI
1501
Generate ground plane and work from there.
BibRef
Lang, Y.K.[Yan-Kun],
Wu, H.Y.[Hai-Yuan],
Amano, T.[Toshiyuki],
Chen, Q.[Qian],
An iterative convergence algorithm for single/multi ground plane
detection and angle estimation with RGB-D camera,
ICIP15(2895-2899)
IEEE DOI
1512
?-projection; AIC; camera angle estimation; ground detection
BibRef
Bator, M.[Marcin],
Chmielewski, L.J.[Leszek J.],
Orlowski, A.[Arkadiusz],
Heuristic Assessment of Parameters of the Local Ground Approximation
from Terrestrial LIDAR Data,
GPID15(88-97).
Springer DOI
1603
BibRef
And:
Where Is the Ground? Quality Measures for the Planar Digital Terrain
Model in Terrestrial Laser Scanning,
CIAP15(I:343-353).
Springer DOI
1511
See also Advantages of Using Object-Specific Knowledge at an Early Processing Stage in the Detection of Trees in LIDAR Data.
BibRef
Chmielewski, L.J.[Leszek J.],
Orlowski, A.[Arkadiusz],
Detecting Changes with the Robust Competitive Detector,
IbPRIA17(353-362).
Springer DOI
1706
BibRef
Chmielewski, L.J.[Leszek J.],
Orlowski, A.[Arkadiusz],
Finding Line Segments in the Ulam Square with the Hough Transform,
ICCVG16(617-626).
Springer DOI
1611
BibRef
Earlier:
Ground Level Recovery from Terrestrial Laser Scanning Data with the
Variably Randomized Iterated Hierarchical Hough Transform,
CAIP15(I:630-641).
Springer DOI
1511
BibRef
Dragon, R.[Ralf],
Van Gool, L.J.[Luc J.],
Ground Plane Estimation Using a Hidden Markov Model,
CVPR14(4026-4033)
IEEE DOI
1409
ground plane; hidden markov model; visual gyroscope; visual odometry
BibRef
Rahimi, A.[Amir],
Moradi, H.[Hadi],
Zoroofi, R.A.[Reza A.],
Single image ground plane estimation,
ICIP13(2149-2153)
IEEE DOI
1402
3D; boosting; ground plane estimation
BibRef
Gaspar, J.[José],
Realpe, M.[Miguel],
Vintimilla, B.X.[Boris X.],
Santos-Victor, J.[José],
Mosaicking Cluttered Ground Planes Based on Stereo Vision,
IbPRIA07(II: 17-24).
Springer DOI
0706
BibRef
Zhou, J.[Jin],
Li, B.X.[Bao-Xin],
Robust Ground Plane Detection with Normalized Homography in Monocular
Sequences from a Robot Platform,
ICIP06(3017-3020).
IEEE DOI
0610
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Lane Detection, Lane Following, White Line Detection .