The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Terrain traversability analysis methods for unmanned ground vehicles: A survey
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Citations
Cites
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
Multiple View Geometry in Computer Vision
Hartley, R., & Zisserman, A. (2004) · doi:10.1017/cbo9780511811685 · Cited by 21,070
Speeded-Up Robust Features (SURF)
Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.09.014 · Cited by 13,557 · cited 1×
“By employing SURF features Bay et al. (2008) and an SVM classifier, they distinguished a predefined set of natural terrain classes that were subsequently coupled with appropriate gait behaviors for a quadruped robot.”
MethodThe Ecological Approach to Visual Perception: Classic Edition
Gibson, J. J. (2014) · doi:10.4324/9781315740218 · Cited by 12,132
ROS: an open-source Robot Operating System
Quigley, M. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · Cited by 8,729
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
Kavraki, L. E., Svestka, P., Latombe, J.-C., & Overmars, M. H. (1996) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.508439 · Cited by 6,343 · cited 2×
“…terrain analysis enables the application of efficient graph search algorithms for the purpose of planning, that are currently still very popular and extensively used (see Kavraki et al., 1996; Pivtoraiko and Kelly, 2005; Melchior and Simmons, 2007; Howard et al., 2008; Jaillet et al., 2010).”
BackgroundStanley: The robot that won the DARPA Grand Challenge
Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., et al. (2006) · Journal of Field Robotics · doi:10.1002/rob.20147 · Cited by 2,237
Using occupancy grids for mobile robot perception and navigation
Elfes, A. (1989) · Computer · doi:10.1109/2.30720 · Cited by 2,213
ZERO-MOMENT POINT — THIRTY FIVE YEARS OF ITS LIFE
VUKOBRATOVIĆ, M., & BOROVAC, B. (2004) · International Journal of Humanoid Robotics · doi:10.1142/s0219843604000083 · Cited by 2,038
High resolution maps from wide angle sonar
Moravec, H., & Elfes, A. (2005) · Proceedings. 1985 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1985.1087316 · Cited by 1,772
Cited by
Path Planning for Autonomous Mobile Robots: A Review
Sánchez-Ibáñez, J. R., Pérez-del-Pulgar, C. J., & García-Cerezo, A. (2021) · Sensors · doi:10.3390/s21237898 · Cited by 462
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Bai, Y., Zhang, B., Xu, N., Zhou, J., Shi, J., & Diao, Z. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107584 · Cited by 353
Hu, H., Zhang, K., Tan, A. H., Ruan, M., Agia, C. G., & Nejat, G. (2021) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2021.3093551 · Cited by 93
Guo, J., Kurup, U., & Shah, M. (2018) · arXiv · doi:10.48550/arxiv.1811.11277 · Cited by 14
Metadata
- Authors
- Papadakis, P.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 26
- Issue
- 4
- Pages
- 1373-1385
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W1974868116
- Cited by
- 298
- References
- 59
- FWCI
- 25.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Papadakis, P. (2013). Terrain traversability analysis methods for unmanned ground vehicles: A survey. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2013.01.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
