Synthesizing diverse human motions in 3d indoor scenes
We present a novel method for populating 3D indoor scenes with virtual humans that can
navigate in the environment and interact with objects in a realistic manner. Existing …
navigate in the environment and interact with objects in a realistic manner. Existing …
A review on artificial intelligence applications for facades
This review applies a transformer-based topic model to reveal trends and relationships in
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Artificial Intelligence (AI)-driven facade research, with a focus on architectural …
Radarverses in metaverses: A CPSI-based architecture for 6S radar systems in CPSS
Metaverses have caused significant changes in the industry and their academic foundation
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …
can be traced back to the term cyber–physical–social systems (CPSS), which was proposed …
Parallel radars: from digital twins to digital intelligence for smart radar systems
Radar is widely employed in many applications, especially in autonomous driving. At
present, radars are only designed as simple data collectors, and they are unable to meet …
present, radars are only designed as simple data collectors, and they are unable to meet …
Analyzing CARLA's performance for 2D object detection and monocular depth estimation based on deep learning approaches
Vehicle and pedestrian perception are key for autonomous vehicles, and camera images
are a common part of the sensor suite. This study explored the use of synthetic datasets from …
are a common part of the sensor suite. This study explored the use of synthetic datasets from …
Pd-flow: A point cloud denoising framework with normalizing flows
Point cloud denoising aims to restore clean point clouds from raw observations corrupted by
noise and outliers while preserving the fine-grained details. We present a novel deep …
noise and outliers while preserving the fine-grained details. We present a novel deep …
[HTML][HTML] Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models
The cost of obtaining large volumes of bridge data with technologies like laser scanners
hinders the training of deep learning models. To address this, this paper introduces a new …
hinders the training of deep learning models. To address this, this paper introduces a new …
Real-time multi-modal semantic fusion on unmanned aerial vehicles with label propagation for cross-domain adaptation
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have
tremendous potential for fast autonomous or remote-controlled semantic scene analysis, eg …
tremendous potential for fast autonomous or remote-controlled semantic scene analysis, eg …
Synthehicle: Multi-vehicle multi-camera tracking in virtual cities
Smart City applications such as intelligent traffic routing, accident prevention or vehicle
surveillance rely on computer vision methods for exact vehicle localization and tracking …
surveillance rely on computer vision methods for exact vehicle localization and tracking …
[HTML][HTML] Deep Learning on 3D Semantic Segmentation: A Detailed Review
In this paper, an exhaustive review and comprehensive analysis of recent and former deep
learning methods in 3D semantic segmentation (3DSS) is presented. In the related literature …
learning methods in 3D semantic segmentation (3DSS) is presented. In the related literature …