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A Statistical Update of Grid Representations from Range Sensors
- Publication Year :
- 2018
- Publisher :
- arXiv, 2018.
-
Abstract
- In a wide range of robotic applications, being able to create a 3D model of the surrounding environment is a key feature for autonomous tasks. In this research report, we present a statistical model to perform 3D reconstructions of the environment from range sensors using an occupancy grid. To do so, we take into account all the available information obtained from the sensor, considering the distances traversed by the rays in each cell and seeking to reduce reconstruction errors caused by discretization. The approach has been validated qualitatively using the KITTI dataset.<br />Comment: Meatadata change. Typo on author's name
- Subjects :
- FOS: Computer and information sciences
Computer Science - Robotics
Lidar
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
3D Environment Modelling and Reconstruction
Computer Vision
[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Robotics
Range Sensor
Robotics (cs.RO)
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....28df1f0b4f18e5782cfab62ee58a7e66
- Full Text :
- https://doi.org/10.48550/arxiv.1807.08483