3D ToF LiDAR in mobile robotics: A review
ERASOR: Egocentric ratio of pseudo occupancy-based dynamic object removal for static 3D point cloud map building
Scan data of urban environments often include representations of dynamic objects, such as
vehicles, pedestrians, and so forth. However, when it comes to constructing a 3D point cloud …
vehicles, pedestrians, and so forth. However, when it comes to constructing a 3D point cloud …
Remove, then revert: Static point cloud map construction using multiresolution range images
We present a novel static point cloud map construction algorithm, called Removert, for use
within dynamic urban environments. Leaving only static points and excluding dynamic …
within dynamic urban environments. Leaving only static points and excluding dynamic …
Ndt-transformer: Large-scale 3d point cloud localisation using the normal distribution transform representation
3D point cloud-based place recognition is highly demanded by autonomous driving in GPS-
challenged environments and serves as an essential component (ie loop-closure detection) …
challenged environments and serves as an essential component (ie loop-closure detection) …
Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods
This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …
EU long-term dataset with multiple sensors for autonomous driving
The field of autonomous driving has grown tremendously over the past few years, along with
the rapid progress in sensor technology. One of the major purposes of using sensors is to …
the rapid progress in sensor technology. One of the major purposes of using sensors is to …
Visual SLAM for indoor livestock and farming using a small drone with a monocular camera: A feasibility study
Real-time data collection and decision making with drones will play an important role in
precision livestock and farming. Drones are already being used in precision agriculture …
precision livestock and farming. Drones are already being used in precision agriculture …
A novel weakly-supervised approach for RGB-D-based nuclear waste object detection
This paper addresses the problem of RGBD-based detection and categorization of waste
objects for nuclear decommissioning. To enable autonomous robotic manipulation for …
objects for nuclear decommissioning. To enable autonomous robotic manipulation for …