Fast-lio2: Fast direct lidar-inertial odometry
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
Faster-LIO: Lightweight tightly coupled LiDAR-inertial odometry using parallel sparse incremental voxels
C Bai, T **
We present a novel tightly-coupled LiDAR-inertial odometry and map** scheme for both
solid-state and mechanical LiDARs. As frontend, a feature-based lightweight LiDAR …
solid-state and mechanical LiDARs. As frontend, a feature-based lightweight LiDAR …
Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Factor graph optimization (FGO) recently has attracted attention as an alternative to the
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
extended Kalman filter (EKF) for GNSS-INS integration. This study evaluates both loosely …
Deep learning adversarial attacks and defenses in autonomous vehicles: A systematic literature review from a safety perspective
Abstract The integration of Deep Learning (DL) algorithms in Autonomous Vehicles (AVs)
has revolutionized their precision in navigating various driving scenarios, ranging from anti …
has revolutionized their precision in navigating various driving scenarios, ranging from anti …
[HTML][HTML] External multi-modal imaging sensor calibration for sensor fusion: A review
Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …
increased demand for external sensor calibration. Despite several proven calibration …
A survey on map-based localization techniques for autonomous vehicles
Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …
perception, planning, and action operations. One of the foundational layers of such stacks is …
Multi-modal sensor fusion for auto driving perception: A survey
Multi-modal fusion is a fundamental task for the perception of an autonomous driving
system, which has recently intrigued many researchers. However, achieving a rather good …
system, which has recently intrigued many researchers. However, achieving a rather good …
Hong Kong UrbanNav: An open-source multisensory dataset for benchmarking urban navigation algorithms
Accurate positioning in urban canyons remains a challenging problem. To facilitate the
research and development of reliable and precise positioning methods using multiple …
research and development of reliable and precise positioning methods using multiple …