TNES: terrain traversability mapping, navigation and excavation system for autonomous excavators on worksite
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10514-023-10113-9.pdf
Reference66 articles.
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2. Bellone, M., Messina, A., & Reina, G. (2013). A new approach for terrain analysis in mobile robot applications. In 2013 IEEE international conference on mechatronics (ICM) (pp. 225–230). https://doi.org/10.1109/ICMECH.2013.6518540
3. Bellone, M., Reina, G., Giannoccaro, N., & Spedicato, L. (2014). 3D traversability awareness for rough terrain mobile robots. Sensor Review. https://doi.org/10.1108/SR-03-2013-644
4. Braun, T., Bitsch, H., & Berns, K. (2008). Visual terrain traversability estimation using a combined slope/elevation model. In A. R. Dengel, K. Berns, T. M. Breuel, F. Bomarius, & T. R. Roth-Berghofer (Eds.), KI 2008: Advances in Artificial Intelligence (pp. 177–184). Springer.
5. Chavez-Garcia, R. O., Guzzi, J., Gambardella, L. M., & Giusti, A. (2018). Learning ground traversability from simulations. IEEE Robotics and Automation Letters, 3(3), 1695–1702. https://doi.org/10.1109/LRA.2018.2801794
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