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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 …
A survey on global lidar localization: Challenges, advances and open problems
H Yin, X Xu, S Lu, X Chen, R ** for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
RINet: Efficient 3D lidar-based place recognition using rotation invariant neural network
LiDAR-based place recognition (LPR) is one of the basic capabilities of robots, which can
retrieve scenes from maps and identify previously visited locations based on 3D point …
retrieve scenes from maps and identify previously visited locations based on 3D point …
Ring++: Roto-translation invariant gram for global localization on a sparse scan map
Global localization plays a critical role in many robot applications. LiDAR-based global
localization draws the community's focus with its robustness against illumination and …
localization draws the community's focus with its robustness against illumination and …
Adafusion: Visual-lidar fusion with adaptive weights for place recognition
Recent years have witnessed the increasing application of place recognition in various
environments, such as city roads, large buildings, and a mix of indoor and outdoor places …
environments, such as city roads, large buildings, and a mix of indoor and outdoor places …
3D point cloud-based place recognition: a survey
Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial
role in simultaneous localization and map** (SLAM) systems to retrieve scenes from maps …
role in simultaneous localization and map** (SLAM) systems to retrieve scenes from maps …
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen
environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions …
environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions …
Narrowing your fov with solid: Spatially organized and lightweight global descriptor for fov-constrained lidar place recognition
We often encounter limited FOV situations due to various factors such as sensor fusion or
sensor mount in real-world robot navigation. However, the limited FOV interrupts the …
sensor mount in real-world robot navigation. However, the limited FOV interrupts the …