A review of visual-LiDAR fusion based simultaneous localization and map**
Autonomous navigation requires both a precise and robust map** and localization
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
Lidar-based place recognition for autonomous driving: A survey
LiDAR has gained popularity in autonomous driving due to advantages like long
measurement distance, rich three-dimensional information, and stability in harsh …
measurement distance, rich three-dimensional information, and stability in harsh …
[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
[PDF][PDF] Efficient surfel-based SLAM using 3D laser range data in urban environments.
Accurate and reliable localization and map** is a fundamental building block for most
autonomous robots. For this purpose, we propose a novel, dense approach to laserbased …
autonomous robots. For this purpose, we propose a novel, dense approach to laserbased …
The revisiting problem in simultaneous localization and map**: A survey on visual loop closure detection
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Appearance-only SLAM at large scale with FAB-MAP 2.0
We describe a new formulation of appearance-only SLAM suitable for very large scale place
recognition. The system navigates in the space of appearance, assigning each new …
recognition. The system navigates in the space of appearance, assigning each new …
The three-dimensional normal-distributions transform: an efficient representation for registration, surface analysis, and loop detection
M Magnusson - 2009 - diva-portal.org
This dissertation is concerned with three-dimensional (3D) sensing and 3D scan
representation. Three-dimensional records are important tools in several, quite diverse …
representation. Three-dimensional records are important tools in several, quite diverse …
Role of deep learning in loop closure detection for visual and lidar slam: A survey
Loop closure detection is of vital importance in the process of simultaneous localization and
map** (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …
map** (SLAM), as it helps to reduce the cumulative error of the robot's estimated pose and …
Visual place recognition: A tutorial
Localization is an essential capability for mobile robots. A rapidly growing field of research in
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …
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 …