Delving deeper into convolutional neural networks for camera relocalization
Convolutional Neural Networks (CNNs) have been applied to camera relocalization, which
is to infer the pose of the camera given a single monocular image. However, there are still …
is to infer the pose of the camera given a single monocular image. However, there are still …
Near-field perception for low-speed vehicle automation using surround-view fisheye cameras
Cameras are the primary sensor in automated driving systems. They provide high
information density and are optimal for detecting road infrastructure cues laid out for human …
information density and are optimal for detecting road infrastructure cues laid out for human …
Real-time RGB-D camera relocalization via randomized ferns for keyframe encoding
Recovery from tracking failure is essential in any simultaneous localization and tracking
system. In this context, we explore an efficient keyframe-based relocalization method based …
system. In this context, we explore an efficient keyframe-based relocalization method based …
A Survey of Indoor 3D Reconstruction Based on RGB-D Cameras
J Zhu, C Gao, QC Sun, M Wang, Z Deng - IEEE Access, 2024 - ieeexplore.ieee.org
With the advancement of consumer-grade RGB-D cameras, obtaining depth information for
indoor 3D spaces has become increasingly accessible. This paper systematically reviews …
indoor 3D spaces has become increasingly accessible. This paper systematically reviews …
Global localization of a mobile robot using lidar and visual features
Global localization is a well-known problem of estimating the pose of a robot in a learned
map without any prior knowledge of its initial pose. It is difficult to achieve global localization …
map without any prior knowledge of its initial pose. It is difficult to achieve global localization …
Visual odometry using pixel processor arrays for unmanned aerial systems in gps denied environments
Environments in which Global Positioning Systems (GPS), or more generally Global
Navigation Satellite System (GNSS), signals are denied or degraded pose problems for the …
Navigation Satellite System (GNSS), signals are denied or degraded pose problems for the …
DeepPilot4Pose: a fast pose localisation for MAV indoor flight using the OAK-D camera
Abstract We present DeepPilot4Pose, a compact convolutional neural network for visual
pose estimation that runs onboard novel smart camera, the OAK-D. We aim at using it for …
pose estimation that runs onboard novel smart camera, the OAK-D. We aim at using it for …
Next-best-view regression using a 3D convolutional neural network
Abstract Automated three-dimensional (3D) object reconstruction is the task of building a
geometric representation of a physical object by means of sensing its surface. Even though …
geometric representation of a physical object by means of sensing its surface. Even though …
A study of sensor-fusion mechanism for mobile robot global localization
Estimating the robot state within a known map is an essential problem for mobile robot; it is
also referred to “localization”. Even LiDAR-based localization is practical in many …
also referred to “localization”. Even LiDAR-based localization is practical in many …
Towards autonomous flight of micro aerial vehicles using orb-slam
J Martínez-Carranza, N Loewen… - 2015 Workshop on …, 2015 - ieeexplore.ieee.org
In the last couple of years a novel visual simultaneous localisation and map** (SLAM)
system, based on visual features, has emerged as one of the best, if not the best, systems for …
system, based on visual features, has emerged as one of the best, if not the best, systems for …