[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
Scan context++: Structural place recognition robust to rotation and lateral variations in urban environments
Place recognition is a key module in robotic navigation. The existing line of studies mostly
focuses on visual place recognition to recognize previously visited places solely based on …
focuses on visual place recognition to recognize previously visited places solely based on …
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
Voxnet: A 3d convolutional neural network for real-time object recognition
D Maturana, S Scherer - 2015 IEEE/RSJ international …, 2015 - ieeexplore.ieee.org
Robust object recognition is a crucial skill for robots operating autonomously in real world
environments. Range sensors such as LiDAR and RGBD cameras are increasingly found in …
environments. Range sensors such as LiDAR and RGBD cameras are increasingly found in …
BEV-V2X: Cooperative birds-eye-view fusion and grid occupancy prediction via V2X-based data sharing
Birds-Eye-View (BEV) perception can naturally represent natural scenes, which is conducive
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …
Intensity scan context: Coding intensity and geometry relations for loop closure detection
Loop closure detection is an essential and challenging problem in simultaneous localization
and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor due …
and mapping (SLAM). It is often tackled with light detection and ranging (LiDAR) sensor due …
3d convolutional neural networks for landing zone detection from lidar
D Maturana, S Scherer - 2015 IEEE international conference on …, 2015 - ieeexplore.ieee.org
We present a system for the detection of small and potentially obscured obstacles in
vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy …
vegetated terrain. The key novelty of this system is the coupling of a volumetric occupancy …
Autonomous multi-floor indoor navigation with a computationally constrained MAV
In this paper, we consider the problem of autonomous navigation with a micro aerial vehicle
(MAV) in indoor environments. In particular, we are interested in autonomous navigation in …
(MAV) in indoor environments. In particular, we are interested in autonomous navigation in …
Search and rescue under the forest canopy using multiple UAVs
We present a multi-robot system for GPS-denied search and rescue under the forest canopy.
Forests are particularly challenging environments for collaborative exploration and mapping …
Forests are particularly challenging environments for collaborative exploration and mapping …
A survey on global lidar localization: Challenges, advances and open problems
Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …
estimation is part of the core functionalities of mobile robots. Over the last two decades …