Open Access

Dense Scene Flow Estimation with the GVF Snake Model for Obstacle Detection Using a 3D Sensor in the Path-Planning Module


Cite

A survey on rgb-d datasets. Computer Vision and Image Understanding, 222:103489, 2022. A survey on rgb-d datasets Computer Vision and Image Understanding 222 103489 2022 Search in Google Scholar

Mats Ahlskog. 3D Vision. Master's thesis, Department of Computer Science and Electronics, Mälardalen University, 2007. Mats Ahlskog. 3D Vision Master's thesis, Department of Computer Science and Electronics, Mälardalen University 2007 Search in Google Scholar

Alefs, Bram, David Schreiber, and Markus Clabian. Hypothesis based vehicle detection for increased simplicity in multi sensor. In IEEE Intelligent Vehicles Symposium, pages 261–266, 2005. AlefsBram SchreiberDavid ClabianMarkus Hypothesis based vehicle detection for increased simplicity in multi sensor In IEEE Intelligent Vehicles Symposium 261 266 2005 Search in Google Scholar

J.L. Barron, D.J. Fleet, S.S. Beauchemin, and T.A. Burkitt. Performance of optical flow techniques. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings CVPR ’92, pages 236–242, June 1992. BarronJ.L. FleetD.J. BeaucheminS.S. BurkittT.A. Performance of optical flow techniques In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings CVPR ’92 236 242 June 1992 Search in Google Scholar

N. Bauer, P. Pathirana, and P. Hodgson. Robust Optical Flow with Combined Lucas-Kanade/Horn-Schunck and Automatic Neighborhood Selection. In Information and Automation, 2006. ICIA 2006. International Conference on, pages 378–383, December 2006. BauerN. PathiranaP. HodgsonP. Robust Optical Flow with Combined Lucas-Kanade/Horn-Schunck and Automatic Neighborhood Selection In Information and Automation, 2006. ICIA 2006. International Conference on 378 383 December 2006 Search in Google Scholar

N. Bauer, P. Pathirana, and P. Hodgson. Robust optical flow with combined lucas-kanade/horn-schunck and automatic neighborhood selection. In International Conference on Information and Automation ICIA, pages 378–383, December 2006. BauerN. PathiranaP. HodgsonP. Robust optical flow with combined lucas-kanade/horn-schunck and automatic neighborhood selection In International Conference on Information and Automation ICIA 378 383 December 2006 Search in Google Scholar

Massimo Bertozzi, Alberto Broggi, Massimo Cellario, Alessandra Fascioli, Paolo Lombardi, and Marco Porta. Artificial vision in road vehicles. In 28th IEEE Industrial Electronics Society Annual Conference, volume 90, pages 1258–1271, July 2002. BertozziMassimo BroggiAlberto CellarioMassimo FascioliAlessandra LombardiPaolo PortaMarco Artificial vision in road vehicles In 28th IEEE Industrial Electronics Society Annual Conference 90 1258 1271 July 2002 Search in Google Scholar

Andrés Bruhn, Joachim Weickert, and Christoph Schnörr. Lucas/kanade meets horn/schunck: combining local and global optic flow methods. International Journal on Computer Vision, 61(3):211–231, February 2005. BruhnAndrés WeickertJoachim SchnörrChristoph Lucas/kanade meets horn/schunck: combining local and global optic flow methods International Journal on Computer Vision 61 3 211 231 February 2005 Search in Google Scholar

Jinyong Cheng and Xiaoyun Sun. Medical image segmentation with improved gradient vector flow. 2012. ChengJinyong SunXiaoyun Medical image segmentation with improved gradient vector flow 2012 Search in Google Scholar

Leandro Cruz, Djalma Lucio, and Luiz Velho. Kinect and rgbd images: Challenges and applications. In SIBGRAPI Tutorials, pages 36–49. IEEE Computer Society, 2012. CruzLeandro LucioDjalma VelhoLuiz Kinect and rgbd images: Challenges and applications In SIBGRAPI Tutorials 36 49 IEEE Computer Society 2012 Search in Google Scholar

Fardi, Basel, Ullrich Schuenert, and GerdWanielik. Shape and motion-based pedestrian detection in infrared images: A multi sensor approach. In IEEE Intelligent Vehicles Symposium IV, pages 18–23, 2005. FardiBasel SchuenertUllrich WanielikGerd Shape and motion-based pedestrian detection in infrared images: A multi sensor approach In IEEE Intelligent Vehicles Symposium IV 18 23 2005 Search in Google Scholar

Dave Ferguson, Maxim Likhachev, and Anthony Stentz. A guide to heuristic based path planning. In Proceedings of the Workshop on Planning under Uncertainty for Autonomous Systems at The International Conference on Automated Planning and Scheduling ICAPS, 2005. FergusonDave LikhachevMaxim StentzAnthony A guide to heuristic based path planning In Proceedings of the Workshop on Planning under Uncertainty for Autonomous Systems at The International Conference on Automated Planning and Scheduling ICAPS 2005 Search in Google Scholar

Sobers L. X. Francis, Sreenatha G. Anavatti, and Matthew Garratt. Motion detection and velocity estimation for obstacle avoidance using 3D point clouds. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, ICINCO, volume 2, pages 255–259, Rome, Italy, July 2012. SciTePress. FrancisSobers L. X. AnavattiSreenatha G. GarrattMatthew Motion detection and velocity estimation for obstacle avoidance using 3D point clouds In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2 255 259 Rome, Italy July 2012 SciTePress Search in Google Scholar

Sobers L. X. Francis, Sreenatha G. Anavatti, and Matthew Garratt. Real-time path planning module for autonomous vehicles in cluttered environment using a 3d camera. International Journal of Vehicle Autonomous Systems, 14:40–61, 2018. FrancisSobers L. X. AnavattiSreenatha G. GarrattMatthew Real-time path planning module for autonomous vehicles in cluttered environment using a 3d camera International Journal of Vehicle Autonomous Systems 14 40 61 2018 Search in Google Scholar

Sobers LX Francis, Sreenatha G Anavatti, and Matthew Garratt. Detection of obstacles in the path planning module using differential scene flow technique. In 2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), pages 53–57, 2015. FrancisSobers LX AnavattiSreenatha G GarrattMatthew Detection of obstacles in the path planning module using differential scene flow technique In 2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA) 53 57 2015 Search in Google Scholar

Ali K. Hamou and Mahmoud R. El-Sakka. Optical flow active contours with primitive shape priors for echocardiography. EURASIP Journal on Advances in Signal Processing, 2010, January 2010. http://www.odysci.com/article/1010113017428690. HamouAli K. El-SakkaMahmoud R. Optical flow active contours with primitive shape priors for echocardiography EURASIP Journal on Advances in Signal Processing 2010 January 2010 http://www.odysci.com/article/1010113017428690. Search in Google Scholar

Osama Hassanein, G. Sreenatha, S. Aboobacker, and Shaaban Ali. Development of low cost autonomous underwater vehicle platform. International Journal on Smart Sensing and Intelligent Systems, 14(1):1–22, 2021. HassaneinOsama SreenathaG. AboobackerS. AliShaaban Development of low cost autonomous underwater vehicle platform International Journal on Smart Sensing and Intelligent Systems 14 1 1 22 2021 Search in Google Scholar

Berthold K. P. Horn and Brian G. Schunck. Determining optical flow. Artificial Intelligence, 17:185–203, 1981. HornBerthold K. P. SchunckBrian G. Determining optical flow Artificial Intelligence 17 185 203 1981 Search in Google Scholar

Michael Kass, Andrew Witkin, and Demetri Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1:321–331, 1988. KassMichael WitkinAndrew TerzopoulosDemetri Snakes: Active contour models International Journal of Computer Vision 1 321 331 1988 Search in Google Scholar

R. Lange. 3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology. PhD thesis, Dep. of Electrical Engineering and Computer Science, University of Siegen, 2000. LangeR. 3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology PhD thesis, Dep. of Electrical Engineering and Computer Science, University of Siegen 2000 Search in Google Scholar

B. D. Lucas and T. Kanade. An Iterative Image Restoration Technique with an Application to Stereo Vision. In 5th International Joint Conference on Artificial Intelligence, pages 674–679, 1981. LucasB. D. KanadeT. An Iterative Image Restoration Technique with an Application to Stereo Vision In 5th International Joint Conference on Artificial Intelligence 674 679 1981 Search in Google Scholar

Sizhuo Ma, Brandon Smith, and Mohit Gupta. Differential scene flow from light field gradients. International Journal of Computer Vision, 128, 03 2020. MaSizhuo SmithBrandon GuptaMohit Differential scene flow from light field gradients International Journal of Computer Vision 128 03 2020 Search in Google Scholar

M. Schmidt, M. Jehle, and B. Jahne. Range flow estimation based on photonic mixing device data. International Journal on Intelligent Systems Technologies and Applications, 5(3/4):380–392, November 2008. SchmidtM. JehleM. JahneB. Range flow estimation based on photonic mixing device data International Journal on Intelligent Systems Technologies and Applications 5 3/4 380 392 November 2008 Search in Google Scholar

Sgouros, G. Papakonstantinous, and P. Tsanakas. Localized qualitative navigation for indoor environments. In IEEE International Conference on Robotics and Automation, 1996. SgourosG. Papakonstantinous TsanakasP. Localized qualitative navigation for indoor environments In IEEE International Conference on Robotics and Automation 1996 Search in Google Scholar

Lin Shao, Parth Shah, Vikranth Dwaracherla, and Jeannette Bohg. Motion-based object segmentation based on dense rgb-d scene flow. IEEE Robotics and Automation Letters, PP, 04 2018. ShaoLin ShahParth DwaracherlaVikranth BohgJeannette Motion-based object segmentation based on dense rgb-d scene flow IEEE Robotics and Automation Letters PP 04 2018 Search in Google Scholar

E. Smistad, A. Elster, and F. Lindseth. Real-Time Gradient Vector Flow on GPUs using OpenCL. Journal of Real-Time Image Processing, pages 1–8, 2012. SmistadE. ElsterA. LindsethF. Real-Time Gradient Vector Flow on GPUs using OpenCL Journal of Real-Time Image Processing 1 8 2012 Search in Google Scholar

S. Vedula, P. Rander, R. Collins, and T. Kanade. Three-Dimensional Scene Flow. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27(3):475–480, March 2005. VedulaS. RanderP. CollinsR. KanadeT. Three-Dimensional Scene Flow Pattern Analysis and Machine Intelligence, IEEE Transactions on 27 3 475 480 March 2005 Search in Google Scholar

Quan Wang and Yu Wang. Gpu implementation for 3d gvf force field. ECSE, Rensselaer Polytechnic Institute, Troy, NY, USA, November 2010. WangQuan WangYu Gpu implementation for 3d gvf force field ECSE, Rensselaer Polytechnic Institute Troy, NY, USA November 2010 Search in Google Scholar

Yongqing Wang and Yanzhou Zhang. Object tracking based on machine vision and improved svdd algorithm. International Journal on Smart Sensing and Intelligent Systems, 8(1):677–696, 2015. WangYongqing ZhangYanzhou Object tracking based on machine vision and improved svdd algorithm International Journal on Smart Sensing and Intelligent Systems 8 1 677 696 2015 Search in Google Scholar

C. Xu and J. L. Prince. Snakes, Shapes, and Gradient Vector Flow. Image Processing, IEEE Transactions on, 7(3):359–369, March 1998. XuC. PrinceJ. L. Snakes, Shapes, and Gradient Vector Flow Image Processing, IEEE Transactions on 7 3 359 369 March 1998 Search in Google Scholar

eISSN:
1178-5608
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Engineering, Introductions and Overviews, other