[HTML][HTML] Perspectives of realsense and zed depth sensors for robotic vision applications
This review paper presents an overview of depth cameras. Our goal is to describe the
features and capabilities of the introduced depth sensors in order to determine their …
features and capabilities of the introduced depth sensors in order to determine their …
A dynamic clustering algorithm for lidar obstacle detection of autonomous driving system
F Gao, C Li, B Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Lidar is an important sensor of the autonomous driving system to detect environmental
obstacles, but the spatial distribution of its point cloud is non-uniform because of the …
obstacles, but the spatial distribution of its point cloud is non-uniform because of the …
A traffic data clustering framework based on fog computing for VANETs
Abstract Vehicular Ad-hoc Networks (VANETs) are based on vehicle to infrastructure
communications in which the vehicles periodically broadcast information to update a Road …
communications in which the vehicles periodically broadcast information to update a Road …
Ananke: a streaming framework for live forward provenance
Data streaming enables online monitoring of large and continuous event streams in Cyber-
Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can …
Physical Systems (CPSs). In such scenarios, fine-grained backward provenance tools can …
Painting path planning for a painting robot with a realsense depth sensor
The utilization of stereo cameras in robotic applications is presented in this paper. The use
of a stereo depth sensor is a principal step in robotics applications, since it is the first step in …
of a stereo depth sensor is a principal step in robotics applications, since it is the first step in …
Driven: a framework for efficient data retrieval and clustering in vehicular networks
Applications for adaptive (sometimes also called smart) Cyber-Physical Systems are
blossoming thanks to the large volumes of data, sensed in a continuous fashion, in large …
blossoming thanks to the large volumes of data, sensed in a continuous fashion, in large …
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks
The growing interest in data analysis applications for Cyber–Physical Systems stems from
the large amounts of data such large distributed systems sense in a continuous fashion. A …
the large amounts of data such large distributed systems sense in a continuous fashion. A …
Intelligent detection for tunnel shotcrete spray using deep learning and LiDAR
L Chun-Lei, S Hao, L Chun-Lai, L **-Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Shotcrete spray is an indispensable process in tunnel construction. At present, the
construction of tunnels in China is mainly depend on labor or mobile concrete sprayer …
construction of tunnels in China is mainly depend on labor or mobile concrete sprayer …
Towards data-driven additive manufacturing processes
Additive Manufacturing (AM), or 3D printing, is a potential game-changer in medical and
aerospatial sectors, among others. AM enables rapid prototy** (allowing development …
aerospatial sectors, among others. AM enables rapid prototy** (allowing development …
Mad-c: Multi-stage approximate distributed cluster-combining for obstacle detection and localization
The upcoming digitalization in the context of Cyber–physical Systems (CPS), enabled
through Internet-of-Things (IoT) infrastructures, require efficient methods for distributed …
through Internet-of-Things (IoT) infrastructures, require efficient methods for distributed …