Neural network-based recent research developments in SLAM for autonomous ground vehicles: A review
The development of autonomous vehicles has prompted an interest in exploring various
techniques in navigation. One such technique is simultaneous localization and map** …
techniques in navigation. One such technique is simultaneous localization and map** …
LiDAR odometry survey: recent advancements and remaining challenges
Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …
methods like global positioning system are unavailable. The main goal of odometry is to …
MULLS: Versatile LiDAR SLAM via multi-metric linear least square
Y Pan, P ** calls for off-the-shelf
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
Translo: A window-based masked point transformer framework for large-scale lidar odometry
Recently, transformer architecture has gained great success in the computer vision
community, such as image classification, object detection, etc. Nonetheless, its application …
community, such as image classification, object detection, etc. Nonetheless, its application …
Pwclo-net: Deep lidar odometry in 3d point clouds using hierarchical embedding mask optimization
A novel 3D point cloud learning model for deep LiDAR odometry, named PWCLO-Net, using
hierarchical embedding mask optimization is proposed in this paper. In this model, the …
hierarchical embedding mask optimization is proposed in this paper. In this model, the …
Efficient 3d deep lidar odometry
An efficient 3D point cloud learning architecture, named EfficientLO-Net, for LiDAR odometry
is first proposed in this article. In this architecture, the projection-aware representation of the …
is first proposed in this article. In this architecture, the projection-aware representation of the …
A practical survey on visual odometry for autonomous driving in challenging scenarios and conditions
The expansion of autonomous driving operations requires the research and development of
accurate and reliable self-localization approaches. These include visual odometry methods …
accurate and reliable self-localization approaches. These include visual odometry methods …
4DRVO-Net: Deep 4D radar–visual odometry using multi-modal and multi-scale adaptive fusion
Four-dimensional (4D) radar–visual odometry (4DRVO) integrates complementary
information from 4D radar and cameras, making it an attractive solution for achieving …
information from 4D radar and cameras, making it an attractive solution for achieving …
Efficient deep-learning 4d automotive radar odometry method
Odometry is a crucial technology for the autonomous positioning of intelligent vehicles.
While estimating the odometry from LiDAR and cameras has progressed recently, it remains …
While estimating the odometry from LiDAR and cameras has progressed recently, it remains …
SLAMICP library: Accelerating obstacle detection in mobile robot navigation via outlier monitoring following icp localization
E Clotet, J Palacín - Sensors, 2023 - mdpi.com
The Iterative Closest Point (ICP) is a matching technique used to determine the
transformation matrix that best minimizes the distance between two point clouds. Although …
transformation matrix that best minimizes the distance between two point clouds. Although …