17.6.1.1 Visual Odometry, Distance Measurments from Vision, Motion

Chapter Contents (Back)
Measurment. Odometry. Visual Odometry. See also Localization, Where is the robot, Where is the camera.

Adam, A., Rivlin, E., Rotstein, H.,
Fusion of Fixation and Odometry for Vehicle Navigation,
SMC-A(29), No. 6, November 1999, pp. 593.
IEEE Top Reference. BibRef 9911

Scaramuzza, D.[Davide],
1-Point-RANSAC Structure from Motion for Vehicle-Mounted Cameras by Exploiting Non-holonomic Constraints,
IJCV(95), No. 1, October 2011, pp. 74-85.
WWW Link. 1108
BibRef

Scaramuzza, D.[Davide], Siegwart, R.[Roland],
Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Scaramuzza, D.[Davide], Fraundorfer, F.[Friedrich], Pollefeys, M.[Marc], Siegwart, R.[Roland],
Absolute scale in structure from motion from a single vehicle mounted camera by exploiting nonholonomic constraints,
ICCV09(1413-1419).
IEEE DOI 0909
BibRef

Scaramuzza, D.[Davide], Fraundorfer, F.[Friedrich], Siegwart, R.[Roland], Pollefeys, M.[Marc],
Closing the Loop in Appearance Guided SfM for Omnidirectional Cameras,
OMNIVIS08(xx-yy). 0810
BibRef

Martinelli, A.[Agostino],
Closed-Form Solution of Visual-Inertial Structure from Motion,
IJCV(106), No. 2, January 2014, pp. 138-152.
WWW Link. 1402
BibRef

Scaramuzza, D.[Davide], Martinelli, A.[Agostino], Siegwart, R.[Roland],
A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion,
CVS06(45).
IEEE DOI 0602
BibRef

Kneip, L.[Laurent], Chli, M.[Margarita], Siegwart, R.[Roland],
Robust Real-Time Visual Odometry with a Single Camera and an IMU,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Parra Alonso, I., Llorca, D.F., Gavilan, M., Pardo, S.Á., Garcia-Garrido, M.Á., Vlacic, L., Sotelo, M.Á.,
Accurate Global Localization Using Visual Odometry and Digital Maps on Urban Environments,
ITS(13), No. 4, December 2012, pp. 1535-1545.
IEEE DOI 1212
BibRef

Naroditsky, O.[Oleg], Zhou, X.S.[Xun S.], Gallier, J.[Jean], Roumeliotis, S.I.[Stergios I.], Daniilidis, K.[Kostas],
Two Efficient Solutions for Visual Odometry Using Directional Correspondence,
PAMI(34), No. 4, April 2012, pp. 818-824.
IEEE DOI 1203
Two-view, relative pose from 3 image points and one common direction (e.g. vanishing point or gravity) BibRef

Hesch, J.A.[Joel A.], Mourikis, A.I.[Anastasios I.], Roumeliotis, S.I.[Stergios I.],
Extrinsic Camera Calibration Using Multiple Reflections,
ECCV10(IV: 311-325).
Springer DOI 1009
BibRef

Mourikis, A.I.[Anastasios I.], Roumeliotis, S.I.[Stergios I.],
A dual-layer estimator architecture for long-term localization,
VisLoc08(1-8).
IEEE DOI 0806
BibRef

Siddiqui, R., Khatibi, S.,
Robust visual odometry estimation of road vehicle from dominant surfaces for large-scale mapping,
IET-ITS(9), No. 3, 2015, pp. 314-322.
DOI Link 1506
cameras BibRef

Mouats, T., Aouf, N., Sappa, A.D., Aguilera, C., Toledo, R.,
Multispectral Stereo Odometry,
ITS(16), No. 3, June 2015, pp. 1210-1224.
IEEE DOI 1506
Cameras BibRef

De-Maeztu, L.[Leonardo], Elordi, U.[Unai], Nieto, M.[Marcos], Barandiaran, J.[Javier], Otaegui, O.[Oihana],
A temporally consistent grid-based visual odometry framework for multi-core architectures,
RealTimeIP(10), No. 4, December 2015, pp. 759-769.
Springer DOI 1512
BibRef

Sarvrood, Y.B.[Yashar Balazadegan], Hosseinyalamdary, S.[Siavash], Gao, Y.[Yang],
Visual-LiDAR Odometry Aided by Reduced IMU,
IJGI(5), No. 1, 2016, pp. 3.
DOI Link 1602
BibRef

Brubaker, M.A.[Marcus A.], Geiger, A.[Andreas], Urtasun, R.[Raquel],
Map-Based Probabilistic Visual Self-Localization,
PAMI(38), No. 4, April 2016, pp. 652-665.
IEEE DOI 1603
BibRef
Earlier:
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization,
CVPR13(3057-3064)
IEEE DOI 1309
Computational modeling. localization; mixture model; Using visual odometry and road maps. BibRef

Güney, F.[Fatma], Geiger, A.[Andreas],
Deep Discrete Flow,
ACCV16(IV: 207-224).
Springer DOI 1704
BibRef

Menze, M.[Moritz], Heipke, C.[Christian], Geiger, A.[Andreas],
Discrete Optimization for Optical Flow,
GCPR15(16-28).
Springer DOI 1511
BibRef

Menze, M.[Moritz], Geiger, A.[Andreas],
Object scene flow for autonomous vehicles,
CVPR15(3061-3070)
IEEE DOI 1510
BibRef

Song, S.[Shiyu], Chandraker, M.[Manmohan], Guest, C.C.,
High Accuracy Monocular SFM and Scale Correction for Autonomous Driving,
PAMI(38), No. 4, April 2016, pp. 730-743.
IEEE DOI 1603
Accuracy BibRef

Song, S.[Shiyu], Chandraker, M.[Manmohan],
Joint SFM and detection cues for monocular 3D localization in road scenes,
CVPR15(3734-3742)
IEEE DOI 1510
BibRef

Eslami, H.[Hamed], Raie, A.A.[Abolghasem A.], Faez, K.[Karim],
Precise Vehicle Speed Measurement Based on a Hierarchical Homographic Transform Estimation for Law Enforcement Applications,
IEICE(E99-D), No. 6, June 2016, pp. 1635-1644.
WWW Link. 1606
BibRef

Borges, P.V.K., Vidas, S.,
Practical Infrared Visual Odometry,
ITS(17), No. 8, August 2016, pp. 2205-2213.
IEEE DOI 1608
Cameras BibRef

Lentaris, G., Stamoulias, I., Soudris, D., Lourakis, M.,
HW/SW Codesign and FPGA Acceleration of Visual Odometry Algorithms for Rover Navigation on Mars,
CirSysVideo(26), No. 8, August 2016, pp. 1563-1577.
IEEE DOI 1609
computer vision BibRef

Fanfani, M.[Marco], Bellavia, F.[Fabio], Colombo, C.[Carlo],
Accurate keyframe selection and keypoint tracking for robust visual odometry,
MVA(27), No. 5, August 2016, pp. 833-844.
WWW Link. 1609
BibRef


Zhu, A.Z., Atanasov, N., Daniilidis, K.[Kostas],
Event-Based Visual Inertial Odometry,
CVPR17(5816-5824)
IEEE DOI 1711
Adaptive optics, Cameras, Optical imaging, Optical sensors, Spatiotemporal phenomena, Tracking BibRef

Wong, X.I., Majji, M.,
Uncertainty Quantification of Lucas Kanade Feature Track and Application to Visual Odometry,
Odometry17(950-958)
IEEE DOI 1709
Algorithm design and analysis, Computational modeling, Covariance matrices, Feature extraction, Uncertainty, Visualization BibRef

Maier, J., Humenberger, M., Zendel, O., Vincze, M.,
Ground Truth Accuracy and Performance of the Matching Pipeline,
Odometry17(969-979)
IEEE DOI 1709
Benchmark testing, Computer vision, Detectors, Feature extraction, Pipelines, Runtime BibRef

Martinez, G.,
Field tests on flat ground of an intensity-difference based monocular visual odometry algorithm for planetary rovers,
MVA17(161-164)
DOI Link 1708
Cameras, Extraterrestrial measurements, Robot vision systems, Shape, Three-dimensional displays, Visualization BibRef

Muller, P., Savakis, A.E.[Andreas E.],
Flowdometry: An Optical Flow and Deep Learning Based Approach to Visual Odometry,
WACV17(624-631)
IEEE DOI 1609
Adaptive optics, Cameras, Computer architecture, Optical imaging, Optical network units, Video sequences, Visualization BibRef

Chien, H.J.[Hsiang-Jen], Klette, R., Schneider, N., Franke, U.,
Visual odometry driven online calibration for monocular LiDAR-camera systems,
ICPR16(2848-2853)
IEEE DOI 1705
Calibration, Cameras, Estimation, Image edge detection, Laser radar, Three-dimensional displays, Visualization BibRef

Zhang, Y.[Yigong], Hou, Z.[Zhixing], Yang, J.[Jian], Kong, H.[Hui],
Maximum clique based RGB-D visual odometry,
ICPR16(2764-2769)
IEEE DOI 1705
Cameras, Estimation, Feature extraction, Motion segmentation, Three-dimensional displays, Two dimensional displays, Visualization, RGB-D camera, feature point, line segment, maximum clique, visual, odometry BibRef

Resch, B.[Benjamin], Wei, J.[Jian], Lensch, H.P.A.[Hendrik P. A.],
Real Time Direct Visual Odometry for Flexible Multi-camera Rigs,
ACCV16(IV: 503-518).
Springer DOI 1704
BibRef

Chien, H.J., Chuang, C.C., Chen, C.Y., Klette, R.,
When to use what feature? SIFT, SURF, ORB, or A-KAZE features for monocular visual odometry,
ICVNZ16(1-6)
IEEE DOI 1701
Cameras BibRef

Xu, W.[Wenju], Choi, D.[Dongkyu],
Direct Visual-Inertial Odometry and Mapping for Unmanned Vehicle,
ISVC16(II: 595-604).
Springer DOI 1701
BibRef

de Mattos Nascimento, M.[Marcelo], Fernandez, M.E.L.[Manuel Eduardo Loaiza], Raposo, A.B.[Alberto Barbosa],
Using Dense 3D Reconstruction for Visual Odometry Based on Structure from Motion Techniques,
ISVC16(II: 483-493).
Springer DOI 1701
BibRef

Alexander, E.[Emma], Guo, Q.[Qi], Koppal, S.[Sanjeev], Gortler, S.[Steven], Zickler, T.[Todd],
Focal Flow: Measuring Distance and Velocity with Defocus and Differential Motion,
ECCV16(III: 667-682).
Springer DOI 1611
BibRef

Deigmoeller, J.[Joerg], Eggert, J.[Julian],
Stereo Visual Odometry Without Temporal Filtering,
GCPR16(166-175).
Springer DOI 1611
BibRef

Dong, X.S.[Xing-Shuai], Dong, X.H.[Xing-Hui], Dong, J.Y.[Jun-Yu],
Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods,
CVRoads16(I: 81-95).
Springer DOI 1611
BibRef

Kersten, J., Rodehorst, V.,
Enhancement Strategies For Frame-to-frame Uas Stereo Visual Odometry,
ISPRS16(B3: 511-518).
DOI Link 1610
BibRef

Tarrio, J.J., Pedre, S.,
Realtime Edge-Based Visual Odometry for a Monocular Camera,
ICCV15(702-710)
IEEE DOI 1602
Cameras BibRef

Lu, Y., Song, D.,
Robust RGB-D Odometry Using Point and Line Features,
ICCV15(3934-3942)
IEEE DOI 1602
Cameras BibRef

Chien, H.J.[Hsiang-Jen], Geng, H.[Haokun], Chen, C.Y.[Chia-Yen], Klette, R.[Reinhard],
Multi-frame Feature Integration for Multi-camera Visual Odometry,
PSIVT15(27-37).
Springer DOI 1602
BibRef

Mirabdollah, M.H.[M. Hossein], Mertsching, B.[Bärbel],
Fast Techniques for Monocular Visual Odometry,
GCPR15(297-307).
Springer DOI 1511
BibRef

Alletto, S.[Stefano], Serra, G.[Giuseppe], Cucchiara, R.[Rita],
Egocentric Object Tracking: An Odometry-Based Solution,
CIAP15(II:687-696).
Springer DOI 1511
BibRef

Fularz, M.[Michal], Nowicki, M.[Michal], Skrzypczynski, P.[Piotr],
Adopting Feature-Based Visual Odometry for Resource-Constrained Mobile Devices,
ICIAR14(II: 431-441).
Springer DOI 1410
BibRef

Wadenback, M.[Marten], Heyden, A.[Anders],
Trajectory Estimation Using Relative Distances Extracted from Inter-image Homographies,
CRV14(232-237)
IEEE DOI 1406
Cameras BibRef

Peretroukhin, V.[Valentin], Kelly, J.[Jonathan], Barfoot, T.D.[Timothy D.],
Optimizing Camera Perspective for Stereo Visual Odometry,
CRV14(1-7)
IEEE DOI 1406
Cameras BibRef

Farboud-Sheshdeh, S.[Sara], Barfoot, T.D.[Timothy D.], Kwong, R.H.[Raymond H.],
Towards Estimating Bias in Stereo Visual Odometry,
CRV14(8-15)
IEEE DOI 1406
Cameras BibRef

Badino, H., Yamamoto, A., Kanade, T.,
Visual Odometry by Multi-frame Feature Integration,
AutoDrive13(222-229)
IEEE DOI 1403
cameras BibRef

Engel, J.[Jakob], Sturm, J.[Jurgen], Cremers, D.[Daniel],
Semi-dense Visual Odometry for a Monocular Camera,
ICCV13(1449-1456)
IEEE DOI 1403
SLAM; dense; monocular; stereo; visual odometry BibRef

Zienkiewicz, J.[Jacek], Lukierski, R.[Robert], Davison, A.[Andrew],
Dense, Auto-Calibrating Visual Odometry from a Downward-Looking Camera,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Straub, J., Hilsenbeck, S., Schroth, G., Huitl, R., Moller, A., Steinbach, E.,
Fast relocalization for visual odometry using binary features,
ICIP13(2548-2552)
IEEE DOI 1402
BRIEF;Locality Sensitive Hashing;ORB;Relocalization;Visual Odometry BibRef

Martinez, G.,
Monocular visual odometry from frame to frame intensity differences for planetary exploration mobile robots,
WORV13(54-59)
IEEE DOI 1307
aerospace robotics BibRef

Jeong, J.[Jaeheon], Mulligan, J.[Jane], Correll, N.[Nikolaus],
Trinocular visual odometry for divergent views with minimal overlap,
WORV13(229-236)
IEEE DOI 1307
BibRef

Boulekchour, M.[Mohammed], Aouf, N.[Nabil],
L_inf Norm Based Solution for Visual Odometry,
CAIP13(II:185-192).
Springer DOI 1311
BibRef

Diamantas, S.C.[Sotirios Ch.], Dasgupta, P.[Prithviraj],
An Active Vision Approach to Height Estimation with Optical Flow,
ISVC13(I:160-170).
Springer DOI 1310
BibRef

Hadsell, R.[Raia], Matei, B.[Bogdan], Salgian, G.[Garbis], Das, A.[Aveek], Oskiper, T.[Taragay], Samarasekera, S.[Supun],
Complex Terrain Mapping with Multi-camera Visual Odometry and Realtime Drift Correction,
3DIMPVT12(493-500).
IEEE DOI 1212
BibRef

Musleh, B.[Basam], Martin, D.[David], de la Escalera, A.[Arturo], Guinea, D.M.[Domingo Miguel], Garcia-Alegre, M.C.[Maria Carmen],
Estimation and Prediction of the Vehicle's Motion Based on Visual Odometry and Kalman Filter,
ACIVS12(491-502).
Springer DOI 1209
BibRef

van Hamme, D.[David], Veelaert, P.[Peter], Philips, W.[Wilfried],
Robust Visual Odometry Using Uncertainty Models,
ACIVS11(1-12).
Springer DOI 1108
BibRef

Goldberg, S.B.[Steven B.], Matthies, L.H.[Larry H.],
Stereo and IMU assisted visual odometry on an OMAP3530 for small robots,
ECVW11(169-176).
IEEE DOI 1106
See also Stereo Vision for Planetary Rovers: Stochastic Modeling to Near Real-Time Implementation. BibRef

Israel, J.[Jonathan], Plyer, A.[Aurelien],
A brute force approach to depth camera odometry,
ConDepth11(1141-1146).
IEEE DOI 1201
BibRef

Tykkala, T.[Tommi], Audras, C.[Cedric], Comport, A.I.[Andrew I.],
Direct Iterative Closest Point for real-time visual odometry,
CVVT11(2050-2056).
IEEE DOI 1201
BibRef

Eudes, A.[Alexandre], Lhuillier, M.[Maxime], Naudet-Collette, S.[Sylvie], Dhome, M.[Michel],
Fast Odometry Integration in Local Bundle Adjustment-Based Visual SLAM,
ICPR10(290-293).
IEEE DOI 1008
BibRef
And: A1, A3, A2, A4:
Weighted Local Bundle Adjustment and Application to Odometry and Visual SLAM Fusion,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Jiang, R.[Ruyi], Klette, R.[Reinhard], Wang, S.G.[Shi-Gang],
Statistical Modeling of Long-Range Drift in Visual Odometry,
CVVT10(214-224).
Springer DOI 1109
BibRef
And:
Modeling of Unbounded Long-Range Drift in Visual Odometry,
PSIVT10(121-126).
IEEE DOI 1011
BibRef

Hansen, P.[Peter], Alismail, H.S.[Hatem Said], Rander, P.[Peter], and Browning, B.[Brett],
Towards a Visual Perception System for Pipe Inspection: Monocular Visual Odometry,
CMU-RI-TR-10-22, July, 2010.
WWW Link. 1102
networks of pipes. BibRef

Huang, Y.W.[Yun-Wen], Chiang, K.W.[Kai-Wei],
Improving the performance of MEMS IMU/GPS POS systems for land based MMS utilizing tightly coupled integration and odometer,
CGC10(131).
PDF File. 1006
BibRef

Dubbelman, G.[Gijs], Groen, F.C.A.[Frans C.A.],
Bias reduction for stereo based motion estimation with applications to large scale visual odometry,
CVPR09(2222-2229).
IEEE DOI 0906
BibRef

Achtelik, M., Bachrach, A., He, R., Prentice, S., Roy, N.,
Stereo vision and laser odometry for autonomous helicopters in GPS-denied indoor environments,
SPIE(7332), pp. 733219, 2009.
DOI Link BibRef 0000

Hadj-Abdelkader, H.[Hicham], Malis, E.[Ezio], Rives, P.[Patrick],
Spherical Image Processing for Accurate Visual Odometry with Omnidirectional Cameras,
OMNIVIS08(xx-yy). 0810
BibRef

Moreno, F.A., Blanco, J.L., González, J.,
An Efficient Closed-Form Solution to Probabilistic 6D Visual Odometry for a Stereo Camera,
ACIVS07(932-942).
Springer DOI 0708
BibRef

Zhu, Z.W.[Zhi-Wei], Oskiper, T.[Taragay], Samarasekera, S.[Supun], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.],
Ten-fold Improvement in Visual Odometry Using Landmark Matching,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Oskiper, T.[Taragay], Zhu, Z.W.[Zhi-Wei], Samarasekera, S.[Supun], Kumar, R.[Rakesh],
Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Kim, J.H.[Jae-Hak], Hartley, R.I.[Richard I.], Frahm, J.M.[Jan-Michael], Pollefeys, M.[Marc],
Visual Odometry for Non-overlapping Views Using Second-Order Cone Programming,
ACCV07(II: 353-362).
Springer DOI 0711
Motion estimation from mounted cameras that do not overlap. More (or really less) than stereo. BibRef

Ni, K.[Kai], Dellaert, F.[Frank],
Stereo Tracking and Three-Point/One-Point Algorithms: A Robust Approach in Visual Odometry,
ICIP06(2777-2780).
IEEE DOI 0610
BibRef

Levin, A., Szeliski, R.S.,
Visual odometry and map correlation,
CVPR04(I: 611-618).
IEEE DOI 0408
BibRef

Nister, D., Naroditsky, O., Bergen, J.,
Visual odometry,
CVPR04(I: 652-659).
IEEE DOI 0408
BibRef

Chapter on Optical Flow Field Computations and Use continues in
Limited Ego Motion Recovery, Direction or Heading .


Last update:Nov 18, 2017 at 20:56:18