Deep learning for 3d point clouds: A survey
Point cloud learning has lately attracted increasing attention due to its wide applications in
many areas, such as computer vision, autonomous driving, and robotics. As a dominating …
many areas, such as computer vision, autonomous driving, and robotics. As a dominating …
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic grasping. We
conclude three key tasks during vision-based robotic grasping, which are object localization …
conclude three key tasks during vision-based robotic grasping, which are object localization …
Deep fusionnet for point cloud semantic segmentation
Many point cloud segmentation methods rely on transferring irregular points into a voxel-
based regular representation. Although voxel-based convolutions are useful for feature …
based regular representation. Although voxel-based convolutions are useful for feature …
A survey of end-to-end driving: Architectures and training methods
A Tampuu, T Matiisen, M Semikin… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
Autonomous driving is of great interest to industry and academia alike. The use of machine
learning approaches for autonomous driving has long been studied, but mostly in the …
learning approaches for autonomous driving has long been studied, but mostly in the …
Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Lidar-based panoptic segmentation via dynamic shifting network
With the rapid advances of autonomous driving, it becomes critical to equip its sensing
system with more holistic 3D perception. However, existing works focus on parsing either the …
system with more holistic 3D perception. However, existing works focus on parsing either the …
Efficientlps: Efficient lidar panoptic segmentation
Panoptic segmentation of point clouds is a crucial task that enables autonomous vehicles to
comprehend their vicinity using their highly accurate and reliable LiDAR sensors. Existing …
comprehend their vicinity using their highly accurate and reliable LiDAR sensors. Existing …
Mask-based panoptic lidar segmentation for autonomous driving
Autonomous vehicles need to understand their surroundings geometrically and semantically
to plan and act appropriately in the real world. Panoptic segmentation of LiDAR scans …
to plan and act appropriately in the real world. Panoptic segmentation of LiDAR scans …
Panoster: End-to-end panoptic segmentation of lidar point clouds
S Gasperini, MAN Mahani… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Panoptic segmentation has recently unified semantic and instance segmentation, previously
addressed separately, thus taking a step further towards creating more comprehensive and …
addressed separately, thus taking a step further towards creating more comprehensive and …
RangeSeg: Range-aware real time segmentation of 3D LiDAR point clouds
TH Chen, TS Chang - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
Semantic outdoor scene understanding based on 3D LiDAR point clouds is a challenging
task for autonomous driving due to the sparse and irregular data structure. This paper takes …
task for autonomous driving due to the sparse and irregular data structure. This paper takes …