Precision positioning for smart logistics using ultra-wideband technology-based indoor navigation: A review

M Elsanhoury, P Mäkelä, J Koljonen, P Välisuo… - Ieee …, 2022 - ieeexplore.ieee.org
Logistics is an important driver for the competitiveness of industries and material supply. The
development of smart logistics, powered by precise positioning and communication …

Applications of wireless sensor networks to improve occupational safety and health in underground mines

S Sadeghi, N Soltanmohammadlou… - Journal of safety research, 2022 - Elsevier
Introduction: The very complex and hazardous environment of underground mines may
significantly contribute to occupational fatalities and injuries. Deploying wireless sensor …

A survey of uncertainty in deep neural networks

J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt… - Artificial Intelligence …, 2023 - Springer
Over the last decade, neural networks have reached almost every field of science and
become a crucial part of various real world applications. Due to the increasing spread …

Navigating to objects in the real world

T Gervet, S Chintala, D Batra, J Malik, DS Chaplot - Science Robotics, 2023 - science.org
Semantic navigation is necessary to deploy mobile robots in uncontrolled environments
such as homes or hospitals. Many learning-based approaches have been proposed in …

[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles

SD Pendleton, H Andersen, X Du, X Shen, M Meghjani… - Machines, 2017 - mdpi.com
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

[책][B] State estimation for robotics

TD Barfoot - 2024 - books.google.com
A key aspect of robotics today is estimating the state (eg, position and orientation) of a robot,
based on noisy sensor data. This book targets students and practitioners of robotics by …

Range image-based LiDAR localization for autonomous vehicles

X Chen, I Vizzo, T Läbe, J Behley… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Robust and accurate, map-based localization is crucial for autonomous mobile systems. In
this paper, we exploit range images generated from 3D LiDAR scans to address the problem …

Socially compliant mobile robot navigation via inverse reinforcement learning

H Kretzschmar, M Spies, C Sprunk… - … Journal of Robotics …, 2016 - journals.sagepub.com
Mobile robots are increasingly populating our human environments. To interact with humans
in a socially compliant way, these robots need to understand and comply with mutually …

A generalized extended kalman filter implementation for the robot operating system

T Moore, D Stouch - Intelligent Autonomous Systems 13: Proceedings of …, 2016 - Springer
Accurate state estimation for a mobile robot often requires the fusion of data from multiple
sensors. Software that performs sensor fusion should therefore support the inclusion of a …

MMW radar-based technologies in autonomous driving: A review

T Zhou, M Yang, K Jiang, H Wong, D Yang - Sensors, 2020 - mdpi.com
With the rapid development of automated vehicles (AVs), more and more demands are
proposed towards environmental perception. Among the commonly used sensors, MMW …