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 …
Systematic literature review on augmented reality-based maintenance applications in manufacturing centered on operator needs
Smart manufacturing supported by emerging Industry 4.0 technologies is a key driver to
realize mass product customizations. Augmented reality (AR) has been commonly applied to …
realize mass product customizations. Augmented reality (AR) has been commonly applied to …
Learning to find good correspondences
We develop a deep architecture to learn to find good correspondences for wide-baseline
stereo. Given a set of putative sparse matches and the camera intrinsics, we train our …
stereo. Given a set of putative sparse matches and the camera intrinsics, we train our …
Epos: Estimating 6d pose of objects with symmetries
We present a new method for estimating the 6D pose of rigid objects with available 3D
models from a single RGB input image. The method is applicable to a broad range of …
models from a single RGB input image. The method is applicable to a broad range of …
Making deep heatmaps robust to partial occlusions for 3d object pose estimation
We introduce a novel method for robust and accurate 3D object pose estimation from a
single color image under large occlusions. Following recent approaches, we first predict the …
single color image under large occlusions. Following recent approaches, we first predict the …
Pedestrian models for autonomous driving Part I: low-level models, from sensing to tracking
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
A region-based gauss-newton approach to real-time monocular multiple object tracking
We propose an algorithm for real-time 6DOF pose tracking of rigid 3D objects using a
monocular RGB camera. The key idea is to derive a region-based cost function using …
monocular RGB camera. The key idea is to derive a region-based cost function using …
Correlation pyramid network for 3d single object tracking
In recent years, 3D LiDAR-based single object tracking (SOT) has gained increasing
attention as it plays a crucial role in 3D applications such as autonomous driving. The …
attention as it plays a crucial role in 3D applications such as autonomous driving. The …
Deep learning-based mobile augmented reality for task assistance using 3D spatial mapping and snapshot-based RGB-D data
This paper proposes a new deep learning-based mobile AR for intelligent task assistance by
conducting 3D spatial mapping without pre-registration using AR markers, which can match …
conducting 3D spatial mapping without pre-registration using AR markers, which can match …
Spatiotemporal adaptive attention 3D multiobject tracking for autonomous driving
X Zhang, Z Fan, X Tan, Q Liu, Y Shi - Knowledge-Based Systems, 2023 - Elsevier
Abstract Three-dimensional (3D) multiobject tracking (MOT) is an essential perception task
for autonomous vehicles (AVs). Studies have indicated that multimodal data fusion can …
for autonomous vehicles (AVs). Studies have indicated that multimodal data fusion can …