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Bending Path Understanding Based on Angle Projections in Field Environments

 oraz    | 25 gru 2023

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E. J. GIBSON and R. D. WALK. The visual cliff. Sci. Am, 202: 64–71, 1960. Search in Google Scholar

Z. J. He and K. Nakayama. Visual attention to surfaces in three-dimensional space. Proc. Natl. Acad. Sci. U. S. A, 92 (24): 11155–11159, 1995. Search in Google Scholar

J. J. Koenderink, A. J. Van Doorn, and A. M. Kappers. Pictorial surface attitude and local depth comparisons. Percept. Psychophys, 58 (2): 163–173, 1996. Search in Google Scholar

Ludovic Magerand and Alessio Del Bue. Revisiting projective structure from motion: A robust and efficient incremental solution. IEEE Trans. Pattern Anal. Mach. Intell., 42(2): 430–443, 2020. Search in Google Scholar

Berta Bescós, Cesar Cadena, and José Neira. Empty cities: A dynamic-object-invariant space for visual SLAM. IEEE Trans. Robotics, 37 (2): 433–451, 2021. Search in Google Scholar

Saifullahi Aminu Bello, Cheng Wang, Naftaly Muriuki Wambugu, and Jibril Muhammad Adam. Ffpointnet: Local and global fused feature for 3d point clouds analysis. Neurocomputing, 461: 55–62, 2021. Search in Google Scholar

Andrea Cavagna, Stefania Melillo, Leonardo Parisi, and Federico Ricci-Tersenghi. Sparta tracking across occlusions via partitioning of 3d clouds of points. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (4): 1394–1403, 2021. Search in Google Scholar

Hui Wei and Luping Wang. Understanding of indoor scenes based on projection of spatial rectangles. Pattern Recognition, 81: 497–514, 2018. Search in Google Scholar

Armon Shariati, Bernd Pfrommer, and Camillo J. Taylor. Simultaneous localization and layout model selection in manhattan worlds. IEEE Robotics and Automation Letters, 4(2): 950–957, 2019. Search in Google Scholar

Luping Wang and Hui Wei. Indoor scene understanding based on manhattan and non-manhattan projection of spatial right-angles. J. Vis. Commun. Image Represent., 80: 103307, 2021. Search in Google Scholar

Jeong-Kyun Lee and Kuk-Jin Yoon. Joint estimation of camera orientation and vanishing points from an image sequence in a non-manhattan world. International Journal of Computer Vision, 127 (10): 1426–1442, 2019. Search in Google Scholar

Ifham Abdul Latheef Ahmed and Mohamed Hisham Jaward. Classifier aided training for semantic segmentation. Journal of Visual Communication and Image Representation, 78: 103177, 2021. Search in Google Scholar

Sudhanshu Mittal, Maxim Tatarchenko, and Thomas Brox. Semi-supervised semantic segmentation with high- and low-level consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (4): 1369–1379, 2021. Search in Google Scholar

Petra Bosilj, Erchan Aptoula, Tom Duckett, and Grzegorz Cielniak. Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture. Journal of Field Robotics, 37 (1): 7–19, 2020. Search in Google Scholar

Lucas M. Tassis, Joao E. Tozzi de Souza, and Re-nato A. Krohling. A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images. Computers and Electronics in Agriculture, 186: 106191, 2021. Search in Google Scholar

Andreas Bar, Jonas Lohdefink, Nikhil Kapoor, Serin John Varghese, Fabian Huger, Peter Schlicht, and Tim Fingscheidt. The vulnerability of semantic segmentation networks to adversarial attacks in autonomous driving: Enhancing extensive environment sensing. IEEE Signal Processing Magazine, 38 (1): 42–52, 2021. Search in Google Scholar

Luping Wang and Hui Wei. Recognizing slanted deck scenes by non-manhattan spatial right angle projection. IEEE Intelligent Systems, 37 (5): 75–85, 2022. Search in Google Scholar

E. Romera, J. M. Alvarez, L. M. Bergasa, and R. Arroyo. Erfnet: Efficient residual factorized convnet for real-time semantic segmentation. IEEE Transactions on Intelligent Transportation Systems, 19 (1): 263–272, 2018. Search in Google Scholar

F. Lateef, M. Kas, and Y. Ruichek. Saliency heat-map as visual attention for autonomous driving using generative adversarial network (gan). IEEE Transactions on Intelligent Transportation Systems, pages 1–14, 2021. Search in Google Scholar

Luping Wang and Hui Wei. Understanding of curved corridor scenes based on projection of spatial right-angles. IEEE Transactions on Image Processing, 29: 9345–9359, 2020. Search in Google Scholar

Leonardo Cabrera Lo Bianco, Jorge Beltrn, Gerardo Fernndez Lpez, Fernando Garca, and Abdulla Al-Kaff. Joint semantic segmentation of road objects and lanes using convolutional neural networks. Robotics and Autonomous Systems, 133: 103623, 2020. Search in Google Scholar

Ivan Kreso, Josip Krapac, and Sinisa Segvic. Efficient ladder-style densenets for semantic segmentation of large images. IEEE Transactions on Intelligent Transportation Systems, 22 (8): 4951–4961, 2021. Search in Google Scholar

Gjorgji Nikolovski, Michael Reke, Ingo Elsen, and Stefan Schiffer. Machine learning based 3d object detection for navigation in unstructured environments. In IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), pages 236–242, 2021. Search in Google Scholar

Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, and Rikke Gade. Navigation-oriented scene understanding for robotic autonomy: Learning to segment drive-ability in egocentric images. IEEE Robotics and Automation Letters, 7 (2): 2913–2920, 2022. Search in Google Scholar

Andreas Kloukiniotis and Konstantinos Moustakas. Vanishing point detection based on the fusion of lidar and image data. In 30th Mediterranean Conference on Control and Automation, MED 2022, Vouliagmeni, Greece, June 28 - July 1, 2022, pages 688–692. IEEE, 2022. Search in Google Scholar

Marin Orsic and Sinisa Segvic. Efficient semantic segmentation with pyramidal fusion. Pattern Recognition, 110: 107611, 2021. Search in Google Scholar

Christopher J. Holder and Toby P. Breckon. Learning to drive: End-to-end off-road path prediction. IEEE Intell. Transp. Syst. Mag., 13 (2): 217–221, 2021. Search in Google Scholar

Bhakti Baheti, Shubham Innani, Suhas S. Gajre, and Sanjay N. Talbar. Semantic scene segmentation in unstructured environment with modified deeplabv3+. Pattern Recognit. Lett., 138: 223–229, 2020. Search in Google Scholar

Kasi Viswanath, Kartikeya Singh, P. Jiang, P. B. Sujit, and S.Saripalli. OFFSEG: A semantic segmentation framework for off-road driving. In 17th IEEE International Conference on Automation Science and Engineering, CASE, Lyon, France, pages 354–359, 2021. Search in Google Scholar

Luping Wang and Hui Wei. Avoiding non-manhattan obstacles based on projection of spatial corners in indoor environment. IEEE/CAA Journal of Automatica Sinica, 7: 1190 – 1200, 2020. Search in Google Scholar

Hui Wei and Luping Wang. Visual navigation using projection of spatial right-angle in indoor environment. IEEE Transactions on Image Processing, 27(7): 3164–3177, 2018. Search in Google Scholar

Luping Wang and Hui Wei. Curved alleyway understanding based on monocular vision in street scenes. IEEE Transactions on Intelligent Transportation Systems, 23 (7): 8544–8563, 2022. Search in Google Scholar

Paolo Arena, Carmelo Fabrizio Blanco, Alessia Li Noce, Salvatore Taffara, and Luca Patane. Learning traversability map of different robotic platforms for unstructured terrains path planning. In International Joint Conference on Neural Networks (IJCNN), pages 1–8, 2020. Search in Google Scholar

Paolo Arena, Fabio Di Pietro, Alessia Li Noce, Salvatore Taffara, and Luca Patanè. Assessment of navigation capabilities of mini cheetah robot for monitoring of landslide terrains. In 6th IEEE International Forum on Research and Technology for Society and Industry, RTSI 2021, Naples, Italy, September 6-9, 2021, pages 540–545. IEEE, 2021. Search in Google Scholar

Luping Wang and Hui Wei. Understanding of wheelchair ramp scenes for disabled people with visual impairments. Engineering Applications of Artificial Intelligence, 90: 103569, 2020. Search in Google Scholar

David D. Fan, Ali-akbar Agha-mohammadi, and Evangelos A. Theodorou. Learning risk-aware costmaps for traversability in challenging environments. IEEE Robotics and Automation Letters, 7 (1): 279–286, 2022. Search in Google Scholar

Wenbo Dong, Pravakar Roy, and Volkan Isler. Semantic mapping for orchard environments by merging two-sides reconstructions of tree rows. Journal of Field Robotics, 37 (1): 97–121, 2020. Search in Google Scholar

Daniel Maturana, Po-Wei Chou, Masashi Uenoyama, and Sebastian A. Scherer. Real-time semantic mapping for autonomous off-road navigation. In Field and Service Robotics, Results of the 11th International Conference, FSR, Zurich, Switzerland, volume 5, pages 335–350, 2017. Search in Google Scholar

Yi Yang, Di Tang, Dongsheng Wang, Wenjie Song, Junbo Wang, and Mengyin Fu. Multi-camera visual SLAM for off-road navigation. Robotics Auton. Syst., 128: 103505, 2020. Search in Google Scholar

Fowlkes C Arbelaez P, Maire M. From contours to regions: An empirical evaluation. In CVPR, pages 2294–2301, 2009. Search in Google Scholar

Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun. Vision meets robotics: The KITTI dataset. Int. J. Robotics Res., 32 (11): 1231–1237, 2013. Search in Google Scholar

M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele. The cityscapes dataset for semantic urban scene understanding. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 3213–3223, 2016. Search in Google Scholar

Kai A. Metzger, Peter Mortimer, and Hans-Joachim Wuensche. A fine-grained dataset and its efficient semantic segmentation for unstructured driving scenarios. In 25th International Conference on Pattern Recognition, ICPR, Virtual Event / Milan, Italy, pages 7892–7899, 2020. Search in Google Scholar

Maggie B. Wigness, Sungmin Eum, John G. Rogers, David Han, and Heesung Kwon. A RUGD dataset for autonomous navigation and visual perception in unstructured outdoor environments. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, Macau, SAR, China, pages 5000–5007, 2019. Search in Google Scholar

J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. Sun database: Large-scale scene recognition from abbey to zoo. CVPR, pages 3485 – 3492, 2010. Search in Google Scholar

Y. Zhang, P. David, H. Foroosh, and B. Gong. A curriculum domain adaptation approach to the semantic segmentation of urban scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42 (8): 1823–1841, 2020. Search in Google Scholar

Y. Zhang, F. Yu, S. Song, P. Xu, A. Seff, and J. Xiao. Largescale scene understanding challenge: Room layout estimation. 2016. Search in Google Scholar

Chen-Yu Lee, Vijay Badrinarayanan, Tomasz Malisiewicz, and Andrew Rabinovich. Roomnet: End-to-end room layout estimation. In IEEE International Conference on Computer Vision, ICCV, pages 4875–4884, 2017. Search in Google Scholar

eISSN:
2449-6499
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Computer Sciences, Databases and Data Mining, Artificial Intelligence