The Impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review
M Ardolino, A Bacchetti, A Dolgui… - … Journal of Production …, 2024 - Taylor & Francis
The COVID-19 pandemic's impacts have been devastating for the global economy, and
particularly for manufacturing companies. Many firms were unprepared for a crisis of this …
particularly for manufacturing companies. Many firms were unprepared for a crisis of this …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Multimodal large language models (MLLMs) have emerged as a prominent area of interest
within the research community, given their proficiency in handling and reasoning with non …
within the research community, given their proficiency in handling and reasoning with non …
Dynamic fusion module evolves drivable area and road anomaly detection: A benchmark and algorithms
Joint detection of drivable areas and road anomalies is very important for mobile robots.
Recently, many semantic segmentation approaches based on convolutional neural …
Recently, many semantic segmentation approaches based on convolutional neural …
Robust odometry and mapping for multi-lidar systems with online extrinsic calibration
Combining multiple LiDARs enables a robot to maximize its perceptual awareness of
environments and obtain sufficient measurements, which is promising for simultaneous …
environments and obtain sufficient measurements, which is promising for simultaneous …
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 …
Human-centric autonomous systems with llms for user command reasoning
The evolution of autonomous driving has made remarkable advancements in recent years,
evolving into a tangible reality. However, a human-centric large-scale adoption hinges on …
evolving into a tangible reality. However, a human-centric large-scale adoption hinges on …
Real-time trajectory planning for autonomous driving with gaussian process and incremental refinement
Real-time kinodynamic trajectory planning in dy-namic environments is critical yet
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …
Insightmapper: A closer look at inner-instance information for vectorized high-definition mapping
Vectorized high-definition (HD) maps contain detailed information about surrounding road
elements, which are crucial for various downstream tasks in modern autonomous driving …
elements, which are crucial for various downstream tasks in modern autonomous driving …
Autonomous vehicles: an analysis both on their distinctiveness and the potential impact on urban transport systems
Autonomous driving is a technological innovation that involves the use of Artificial
Intelligence (AI) in the automotive area, representing the future of transport and whose …
Intelligence (AI) in the automotive area, representing the future of transport and whose …