G-VOM: A GPU Accelerated Voxel Off-Road Mapping System

D. Meagher, “Geometric modeling using octree encoding,” Computer Graphics and Image Processing , vol. 19, no. 2, pp. 129–147, 1982. [Online]. Available: https://www.sciencedirect.com/science/article/pii/0146664X82901046

1982

Earlier work this paper cites.

A. Elfes, “Using occupancy grids for mobile robot perception and navigation,” Computer , vol. 22, no. 6, pp. 46–57, 1989

1989

Earlier work this paper cites.

Y. Roth-Tabak and R. Jain, “Building an environment model using depth information,” Computer , vol. 22, no. 6, pp. 85–90, 1989

1989

Earlier work this paper cites.

P. Payeur, P. Hebert, D. Laurendeau, and C. Gosselin, “Probabilistic octree modeling of a 3d dynamic environment,” in Proceedings of International Conference on Robotics and Automation , vol. 2, 1997, pp. 1289–1296 vol.2

1997

Earlier work this paper cites.

S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) . The MIT Press, 2005

2005

Earlier work this paper cites.

R. Triebel, P. Pfaff, and W. Burgard, “Multi-level surface maps for outdoor terrain mapping and loop closing,” in 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2006, pp. 2276–2282

2006

Earlier work this paper cites.

G. Grisetti, C. Stachniss, and W. Burgard, “Improved techniques for grid mapping with rao-blackwellized particle filters,” IEEE Transactions on Robotics , vol. 23, no. 1, pp. 34–46, 2007

2007

Earlier work this paper cites.

S. Laine and T. Karras, “Efficient sparse voxel octrees,” IEEE Transactions on Visualization and Computer Graphics , vol. 17, no. 8, pp. 1048–1059, 2011

2011

Cited alongside, same era.

A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, “OctoMap: An efficient probabilistic 3D mapping framework based on octrees,” Autonomous Robots , 2013, software available at http://octomap.github.com. [Online]. Available: http://octomap.github.com

2013

Cited alongside, same era.

D. V. Lu, D. Hershberger, and W. D. Smart, “Layered costmaps for context-sensitive navigation,” in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2014, pp. 709–715

2014

Cited alongside, same era.

J. Zhang and S. Singh, “Loam : Lidar odometry and mapping in real-time,” Robotics: Science and Systems Conference (RSS) , pp. 109–111, 01 2014

2014

Cited alongside, same era.

S. Mentasti and M. Matteucci, “Multi-layer occupancy grid mapping for autonomous vehicles navigation,” in 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) , 2019, pp. 1–6

2019

Later among the works it cites.

B. Gao, A. Xu, Y. Pan, X. Zhao, W. Yao, and H. Zhao, “Off-road drivable area extraction using 3d lidar data,” 06 2019, pp. 1505–1511

2019

Later among the works it cites.

T. Overbye and S. Saripalli, “Fast local planning and mapping in unknown off-road terrain,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) , 2020, pp. 5912–5918

2020

Later among the works it cites.

A. Nagariya and S. Saripalli, “An iterative lqr controller for off-road and on-road vehicles using a neural network dynamics model,” in 2020 IEEE Intelligent Vehicles Symposium (IV) , 2020, pp. 1740–1745

2020

Later among the works it cites.