Abstract
UGVs have been used to replace humans in high-risk tasks such as explore caverns, minefields or places contaminated with radiation but also, they are used to research path planners in order to replace human intervention to drive a car. UGVs can be controlled remotely from a safety place to avoid injuries, lethal damage and reduce fatal accidents. However, in order to acquire information about vehicle surroundings, it is necessary to use sensors or cameras that provide information to the remote operator in order to make the best decision of the vehicle course. Correspondingly, the information acquired by the sensors can be used to build an environment map, which will be useful for future applications, or to save a register of the explored area. The work proposed develop and build a vehicle with an Ackermann steering that can be controlled remotely by an operator using a portable computer, with the purpose of explore unknown environments using stereo vision cameras and build a map with information about the surroundings.
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References
Bellutta, P., Manduchi, R., Matthies, L., Owens, K., Rankin, A.: Terrain Perception for DEMO III. Retrieved from https://ieeexplore.ieee.org/abstract/document/898363 (2000)
Aguilar, W.G., Morales, S.G.: 3D environment mapping using the Kinect V2 and path planning based on RRT algorithms. Electronics 5(4), 70 (2016)
Eynard, D., Vasseur, P., Demonceaux, C., Frémont, V.: UAV Altitude Estimation by Mixed Stereoscopic Vision. Retrieved from https://ieeexplore.ieee.org/abstract/document/5652254 (2010)
Aguilar, W.G., Angulo, C.: Real-time model-based video stabilization for microaerial vehicles. Neural Process. Lett. 43(2), 459–477 (2016)
Fong, T., Thorpe, C.: Vehicle Teleoperation Interfaces. Retrieved from https://springerlink.bibliotecabuap.elogim.com/article/10.1023/A:1011295826834 (2001)
Aguilar, W.G., Cobeña, B., Rodriguez, G., Salcedo, V.S., Collaguazo, B.: SVM and RGB-D sensor based gesture recognition for UAV control. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 713–719 (2018)
Krückel, K., Nolden, F., Ferrein, A., Scholl, I.: Intuitive Visual Teleoperation for UGVs Using Free-Look Augmented Reality Displays. Retrieved from https://ieeexplore.ieee.org/abstract/document/7139809 (2015)
Aguilar, W.G., Luna, M.A., Ruiz, H., Moya, J.F., Luna, M.P., Abad, V., Parra, H.: Statistical abnormal crowd behavior detection and simulation for real-time applications. In: International Conference on Intelligent Robotics and Applications, pp. 671–682 (2017)
Lee, J.P.: Future Unmanned System Design for Reliable Military Operations. Retrieved from http://article.nadiapub.com/IJCA/vol5_no3/13.pdf (2012)
Orbea, D., Moposita, J., Aguilar, W.G., Paredes, M., León, G., Jara-Olmedo, A.: Math model of UAV multi rotor prototype with fixed wing aerodynamic structure for a flight simulator. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 199–211 (2017)
Matthies, L., Rankin, A.: Negative Obstacle Detection by Thermal Signature. Retrieved from https://ieeexplore.ieee.org/abstract/document/1250744 (2003)
Aguilar, W.G., Casaliglla, V.P., Polit, J.L.: Obstacle avoidance based-visual navigation for micro aerial vehicles. Electronics 6(1), 10 (2017)
Mitchelle, W., Staniforth, A., Scott, I.: Analysis of Ackermann Steering Geometry. Retrieved from https://www.sae.org/publications/technical-papers/content/2006-01-3638/ (2006)
Aguilar, W.G., Salcedo, V.S., Sandoval, D.S., Cobeña, B.: Developing of a video-based model for UAV autonomous navigation. In: Latin American Workshop on Computational Neuroscience, pp. 94–105 (2017)
Peynot, T., Underwood, J., Scheding, S.: Towards Reliable Perception for Unmanned Ground Vehicles in Challenging Conditions. Retrieved from https://ieeexplore.ieee.org/abstract/document/5354484 (2009)
Aguilar, W.G., Manosalvas, J.F., Guillén, J.A., Collaguazo, B.: Robust motion estimation based on multiple monocular camera for indoor autonomous navigation of micro aerial vehicle. In: International Conference on Augmented Reality, Virtual Reality and Computer Graphics, pp. 547–561 (2018)
Phan, C., Lui, H.: A Cooperative UAV/UGV Platform for Wildfire Detection and Fighting. Retrieved from https://ieeexplore.ieee.org/abstract/document/4675411 (2008)
Sathiyanarayanan, M., Azharuddin, S., Kumar, S.: Four Different Modes to Control Unmanned Ground Vehicle for Military Purpose. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.9990 (2014)
Sokolov, M., Afanasyev, I., Lavrenov, R., Sagitov, A., Sabirova, L., Magid, E.: Modelling a Crawler-Type UGV for Urban Search and Rescue in Gazebo Environment. Retrieved from https://www.researchgate.net/profile/Ilya_Afanasyev/publication/313344082_Modelling_a_crawler-type_UGV_for_urban_search_and_rescue_in_Gazebo_environment/links/5c546cf6a6fdccd6b5da5331/Modelling-a-crawler-type-UGV-for-urban-search-and-rescue-in-Gazebo-e (2017)
Yang, C., Jun-Jian, P., Jing, S., Lin-Lin, Z., Yan-Dong, T.: V-disparity Based UGV Obstacle Detection in Rough Outdoor Terrain. Retrieved from http://www.aas.net.cn/fileZDHXB/journal/article/zdhxb/2010/5/PDF/100506.pdf (2010)
Zhao, Y., Li, J., Li, L., Zhang, M., Guo, L.: Environmental Perception and Sensor Data Fusion for Unmanned Ground Vehicle. Retrieved from https://new.hindawi.com/journals/mpe/2013/903951/ (2013)
Acknowledgements
This work is part of the project perception and localization system for autonomous navigation of rotor micro aerial vehicles in GPS-denied environments, VisualNavDrone, 2016-PIC-024, from the Universidad de las Fuerzas Armadas ESPE, directed by Dr. Wilbert G. Aguilar.
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Aguilar, W.G., Asimbaya, I., Albán, P., Fernández, Y. (2020). Ackermann UGV with 2D Mapping for Unknown Environments. In: Rocha, Á., Paredes-Calderón, M., Guarda, T. (eds) Developments and Advances in Defense and Security. MICRADS 2020. Smart Innovation, Systems and Technologies, vol 181. Springer, Singapore. https://doi.org/10.1007/978-981-15-4875-8_4
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