Lidar-based SLAM and autonomous navigation for forestry quadrotors

Quadrotor UAVs equipped with lidar have an indispensable role in forestry production. In this paper, an autonomous quadrotor with autonomous guidance and navigation ability is designed. Karto Slam algorithm for forestry quadrotor is utilized to accomplish the mission of situation awareness, in which the SPA method and the LM algorithm are used to make the map constructed in practical application with good accuracy and closed-loop characteristics. The RRT* algorithm is used to acquire the sub-optimal path further. The results show that the system can accomplish the task well in the presence of a large number of tree obstacles and has lower computational complexity.

[1]  S. LaValle Rapidly-exploring random trees : a new tool for path planning , 1998 .

[2]  Emilio Frazzoli,et al.  Incremental Sampling-based Algorithms for Optimal Motion Planning , 2010, Robotics: Science and Systems.

[3]  Petr Musílek,et al.  Novel Point-to-Point Scan Matching Algorithm Based on Cross-Correlation , 2016, Mob. Inf. Syst..

[4]  M. Dahleh Laboratory for Information and Decision Systems , 2005 .

[5]  Jennifer L. Palmer,et al.  Comparative evaluation of time-of-flight depth-imaging sensors for mapping and SLAM applications , 2016, ICRA 2016.

[6]  Peter C. Cheeseman,et al.  Estimating uncertain spatial relationships in robotics , 1986, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[7]  Wolfram Burgard,et al.  Efficient Sparse Pose Adjustment for 2D mapping , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Ryan Halterman,et al.  Velodyne HDL-64E lidar for unmanned surface vehicle obstacle detection , 2010, Defense + Commercial Sensing.

[9]  David Portugal,et al.  An evaluation of 2D SLAM techniques available in Robot Operating System , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[10]  Wolfram Burgard,et al.  Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters , 2007, IEEE Transactions on Robotics.

[11]  Steven M. LaValle,et al.  Randomized Kinodynamic Planning , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).