Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning
暂无分享,去创建一个
David Howard | Armando Alves Neto | Douglas Guimarães Macharet | Mario F. M. Campos | Paulo Borges | Felipe G. Oliveira | David Howard | M. Campos | P. Borges | D. Macharet | A. A. Neto
[1] Andreas Zell,et al. Robust Visual Terrain Classification with Recurrent Neural Networks , 2015, ESANN.
[2] Zhiqiang Cao,et al. A terrain description method for traversability analysis based on elevation grid map , 2018 .
[3] Fabio Tozeto Ramos,et al. Bayesian optimisation for active perception and smooth navigation , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[4] Larry H. Matthies,et al. Terrain Adaptive Navigation for planetary rovers , 2009, J. Field Robotics.
[5] Meng Chen,et al. An autonomous exploration algorithm using environment-robot interacted traversability analysis , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[6] Michael Bosse,et al. Continuous 3D scan-matching with a spinning 2D laser , 2009, 2009 IEEE International Conference on Robotics and Automation.
[7] Kiho Kwak,et al. Probabilistic traversability map generation using 3D-LIDAR and camera , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[8] Mario F. M. Campos,et al. Augmented Vector Field Navigation Cost Mapping using Inertial Sensors , 2019, 2019 19th International Conference on Advanced Robotics (ICAR).
[9] Cang Ye,et al. T-transformation: traversability analysis for navigation on rugged terrain , 2004, SPIE Defense + Commercial Sensing.
[10] Andreas Zell,et al. Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[11] Zerui Li,et al. Comparative Study of Different Methods in Vibration-Based Terrain Classification for Wheeled Robots with Shock Absorbers , 2019, Sensors.
[12] Hailin Ren,et al. Neural Network Based Heterogeneous Sensor Fusion for Robot Motion Planning , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[13] Cyrill Stachniss,et al. Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[14] Alberto Elfes,et al. Real-time autonomous ground vehicle navigation in heterogeneous environments using a 3D LiDAR , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[15] Oussama Khatib,et al. Springer Handbook of Robotics , 2007, Springer Handbooks.
[16] Shifeng Wang,et al. Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach , 2017, IEEE Vehicular Technology Magazine.
[17] Prithviraj Dasgupta,et al. Ensemble Learning With Weak Classifiers for Fast and Reliable Unknown Terrain Classification Using Mobile Robots , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[18] Wolfram Burgard,et al. Traversability analysis for mobile robots in outdoor environments: A semi-supervised learning approach based on 3D-lidar data , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[19] Emmanuel G. Collins,et al. Frequency response method for terrain classification in autonomous ground vehicles , 2008, Auton. Robots.
[20] Saeed Ebrahimi,et al. A New Contact Angle Detection Method for Dynamics Estimation of a UGV Subject to Slipping in Rough-Terrain , 2019, J. Intell. Robotic Syst..
[21] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[22] Pinhas Ben-Tzvi,et al. Physics Based Path Planning for Autonomous Tracked Vehicle in Challenging Terrain , 2018, Journal of Intelligent & Robotic Systems.
[23] D. N. Kim,et al. Fast Fourier Transform - Algorithms and Applications , 2010 .
[24] Yang Gao,et al. A survey on terrain assessment techniques for autonomous operation of planetary robots , 2010 .
[25] Masahiro Ono,et al. Risk-aware planetary rover operation: Autonomous terrain classification and path planning , 2015, 2015 IEEE Aerospace Conference.
[26] M A Amiri Atashgah,et al. A simulation environment for path and image generation in an aerial single-camera vision system , 2011 .
[27] Javier Ruiz-del-Solar,et al. A Kalman-filtering-based Approach for Improving Terrain Mapping in off-road Autonomous Vehicles , 2015, J. Intell. Robotic Syst..
[28] Atsushi Yamashita,et al. Fuzzy based traversability analysis for a mobile robot on rough terrain , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[29] Guilherme A. S. Pereira,et al. Robot Navigation in Multi-terrain Outdoor Environments , 2009, Int. J. Robotics Res..
[30] Michael Bosse,et al. Driving on Point Clouds: Motion Planning, Trajectory Optimization, and Terrain Assessment in Generic Nonplanar Environments , 2017, J. Field Robotics.
[31] Jorge L. Martinez,et al. Supervised Learning of Natural-Terrain Traversability with Synthetic 3D Laser Scans , 2020 .
[32] Marion Jaud,et al. Towards LIDAR-RADAR based terrain mapping , 2015, 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO).
[33] Manuela Chessa,et al. Mobility Map Computations for Autonomous Navigation using an RGBD Sensor , 2016, ArXiv.
[34] Mario F. M. Campos,et al. Speed-invariant terrain roughness classification and control based on inertial sensors , 2017, 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR).
[35] Kevin P. Murphy,et al. Machine learning - a probabilistic perspective , 2012, Adaptive computation and machine learning series.
[36] Kevin M. Lynch,et al. Modern Robotics: Mechanics, Planning, and Control , 2017 .