Robust odometry and mapping for multi-lidar systems with online extrinsic calibration
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …
environments and obtain sufficient measurements, which is promising for simultaneous …
WHU-helmet: a helmet-based multisensor SLAM dataset for the evaluation of real-time 3-D mapping in large-scale GNSS-denied environments
Real-time 3-D mapping of large-scale global navigation satellite system (GNSS)-denied
environments plays an important role in forest inventory management, disaster emergency …
environments plays an important role in forest inventory management, disaster emergency …
LiDAR-based SLAM for robotic mapping: state of the art and new frontiers
X Yue, Y Zhang, J Chen, J Chen, X Zhou… - Industrial Robot: the …, 2024 - emerald.com
Purpose In recent decades, the field of robotic mapping has witnessed widespread research
and development in light detection and ranging (LiDAR)-based simultaneous localization …
and development in light detection and ranging (LiDAR)-based simultaneous localization …
An intensity-augmented LiDAR-inertial SLAM for solid-state LiDARs in degenerated environments
H Li, B Tian, H Shen, J Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With development of light detection and ranging (LiDAR) technology, solid-state LiDARs
receive a lot of attention for their high reliability, low cost, and lightweight. However …
receive a lot of attention for their high reliability, low cost, and lightweight. However …
AdaLIO: Robust adaptive LiDAR-inertial odometry in degenerate indoor environments
In recent years, the demand for mapping construction sites or buildings using light detection
and ranging (LiDAR) sensors has been increased to model environments for efficient site …
and ranging (LiDAR) sensors has been increased to model environments for efficient site …
Mmfn: Multi-modal-fusion-net for end-to-end driving
Inspired by the fact that humans use diverse sensory organs to perceive the world, sensors
with different modalities are deployed in end-to-end driving to obtain the global context of …
with different modalities are deployed in end-to-end driving to obtain the global context of …
Hierarchical distribution-based tightly-coupled LiDAR inertial odometry
C Wang, Z Cao, J Li, J Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
LiDAR inertial odometry (LIO) has attracted much attention due to the complementarity of
LiDAR and IMU measurements. In the distribution-based LIO, the components related to …
LiDAR and IMU measurements. In the distribution-based LIO, the components related to …
Pfilter: Building persistent maps through feature filtering for fast and accurate lidar-based slam
Simultaneous localization and mapping (SLAM) based on laser sensors has been widely
adopted by mobile robots and autonomous vehicles. These SLAM systems are required to …
adopted by mobile robots and autonomous vehicles. These SLAM systems are required to …
Adversary is on the road: Attacks on visual {SLAM} using unnoticeable adversarial patch
Visual Simultaneous Localization and Mapping (vSLAM) plays a pivotal role in numerous
emerging applications, including autonomous driving and robotic navigation. It mainly …
emerging applications, including autonomous driving and robotic navigation. It mainly …
Versatile LiDAR-inertial odometry with SE (2) constraints for ground vehicles
LiDAR SLAM has become one of the major localization systems for ground vehicles since
LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage …
LiDAR Odometry And Mapping (LOAM). Many extension works on LOAM mainly leverage …