ECMD: An event-centric multisensory driving dataset for SLAM
Leveraging multiple sensors enhances complex environmental perception and increases
resilience to varying luminance conditions and high-speed motion patterns, achieving …
resilience to varying luminance conditions and high-speed motion patterns, achieving …
LIO-EKF: High frequency LiDAR-inertial odometry using extended kalman filters
Odometry estimation is crucial for every autonomous system requiring navigation in an
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …
unknown environment. In modern mobile robots, 3D LiDAR-inertial systems are often used …
Heterogeneous lidar dataset for benchmarking robust localization in diverse degenerate scenarios
Dynamic Object-aware LiDAR Odometry Aided by Joint Weightings Estimation in Urban Areas
Dynamic object detection from point clouds has been widely studied in recent years to
achieve accurate and robust LiDAR odometry for autonomous driving. Satisfactory accuracy …
achieve accurate and robust LiDAR odometry for autonomous driving. Satisfactory accuracy …
LiDAR-based NDT matching performance evaluation for positioning in adverse weather conditions
Light detection and ranging (LiDAR) can provide continuous and stable pose estimation with
the model of normal distribution transform (NDT), which is widely used in autonomous …
the model of normal distribution transform (NDT), which is widely used in autonomous …
Gici-lib: A gnss/ins/camera integrated navigation library
C Chi, X Zhang, J Liu, Y Sun, Z Zhang… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Accurate navigation is essential for autonomous robots and vehicles. In recent years, the
integration of the Global Navigation Satellite System (GNSS), Inertial Navigation System …
integration of the Global Navigation Satellite System (GNSS), Inertial Navigation System …