[HTML][HTML] A survey on machine-learning based security design for cyber-physical systems
A cyber-physical system (CPS) is the integration of a physical system into the real world and
control applications in a computing system, interacting through a communications network …
control applications in a computing system, interacting through a communications network …
[HTML][HTML] An efficient image-guided-based 3D point cloud moving object segmentation with transformer-attention in autonomous driving
Q Li, Y Zhuang - International Journal of Applied Earth Observation and …, 2023 - Elsevier
For intelligent transportation systems, moving object segmentation (MOS) provides valuable
information for robots and intelligent vehicles, such as collision avoidance, path planning …
information for robots and intelligent vehicles, such as collision avoidance, path planning …
Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3d point cloud
In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential
task for various purposes, such as traversable area detection and object recognition. Under …
task for various purposes, such as traversable area detection and object recognition. Under …
Automatic labeling to generate training data for online LiDAR-based moving object segmentation
Understanding the scene is key for autonomously navigating vehicles, and the ability to
segment the surroundings online into moving and non-moving objects is a central ingredient …
segment the surroundings online into moving and non-moving objects is a central ingredient …
Patchwork: Concentric zone-based region-wise ground segmentation with ground likelihood estimation using a 3D LiDAR sensor
Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …
Temporal consistent 3D lidar representation learning for semantic perception in autonomous driving
Semantic perception is a core building block in autonomous driving, since it provides
information about the drivable space and location of other traffic participants. For learning …
information about the drivable space and location of other traffic participants. For learning …
A survey on global lidar localization: Challenges, advances and open problems
Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …
estimation is part of the core functionalities of mobile robots. Over the last two decades …
Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation
Accurate moving object segmentation is an es-sential task for autonomous driving. It can
provide effective information for many downstream tasks, such as collision avoidance, path …
provide effective information for many downstream tasks, such as collision avoidance, path …
Building volumetric beliefs for dynamic environments exploiting map-based moving object segmentation
Mobile robots that navigate in unknown environments need to be constantly aware of the
dynamic objects in their surroundings for mapping, localization, and planning. It is key to …
dynamic objects in their surroundings for mapping, localization, and planning. It is key to …
Quatro++: Robust global registration exploiting ground segmentation for loop closing in LiDAR SLAM
Global registration is a fundamental task that estimates the relative pose between two
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …