Vision-based navigation techniques for unmanned aerial vehicles: Review and challenges
In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have
gained increasing interest in both academia and industries. The evolution of UAV …
gained increasing interest in both academia and industries. The evolution of UAV …
Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Pointdsc: Robust point cloud registration using deep spatial consistency
Removing outlier correspondences is one of the critical steps for successful feature-based
point cloud registration. Despite the increasing popularity of introducing deep learning …
point cloud registration. Despite the increasing popularity of introducing deep learning …
Deep global registration
Abstract We present Deep Global Registration, a differentiable framework for pairwise
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and map** library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
A general optimization-based framework for global pose estimation with multiple sensors
Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras
We present ORB-SLAM2, a complete simultaneous localization and map** (SLAM)
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …