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Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
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 …
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 …
Ct-icp: Real-time elastic lidar odometry with loop closure
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous
cars for localization and perception tasks, both relying on the ability to build a precise map of …
cars for localization and perception tasks, both relying on the ability to build a precise map of …
OverlapTransformer: An efficient and yaw-angle-invariant transformer network for LiDAR-based place recognition
J Ma, J Zhang, J Xu, R Ai, W Gu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Place recognition is an important capability for autonomously navigating vehicles operating
in complex environments and under changing conditions. It is a key component for tasks …
in complex environments and under changing conditions. It is a key component for tasks …
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset
A holistic semantic scene understanding exploiting all available sensor modalities is a core
capability to master self-driving in complex everyday traffic. To this end, we present the …
capability to master self-driving in complex everyday traffic. To this end, we present the …