Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue
Autonomous unmanned aerial vehicle (UAV) technology is a promising technology for
minimizing human involvement in dangerous activities like urban search and rescue …
minimizing human involvement in dangerous activities like urban search and rescue …
Development and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection
Mobile service robots are increasingly prevalent in human-centric, real-world domains,
operating autonomously in unconstrained indoor environments. In such a context, robotic …
operating autonomously in unconstrained indoor environments. In such a context, robotic …
Teaching a robot where doors and drawers are and how to handle them
We address the problem of teaching a service robot to detect doors and drawers in indoor
environments. We propose a robust and accurate method in which a human demonstrates to …
environments. We propose a robust and accurate method in which a human demonstrates to …
[HTML][HTML] Introduction to door opening type classification based on human demonstration
Opening doors and drawers will be an important ability for future service robots used in
domestic and industrial environments. However, in recent years, the methods for opening …
domestic and industrial environments. However, in recent years, the methods for opening …
Improvement of Door Recognition Algorithm using Lidar and RGB-D camera for Mobile Manipulator
T Kim, M Kang, S Kang, D Kim - 2022 IEEE Sensors …, 2022 - ieeexplore.ieee.org
The characteristics of mobile manipulator, which can perform various tasks in dynamic
environments, have the advantage of driving and doing diverse tasks in large indoor …
environments, have the advantage of driving and doing diverse tasks in large indoor …
Enhancing Door-Status Detection for Autonomous Mobile Robots during Environment-Specific Operational Use
Door-status detection, namely recognising the presence of a door and its status (open or
closed), can induce a remarkable impact on a mobile robot's navigation performance …
closed), can induce a remarkable impact on a mobile robot's navigation performance …
Deep learning model for doors detection: A contribution for context-awareness recognition of patients with Parkinson's disease
HR Gonçalves, CP Santos - Expert Systems with Applications, 2023 - Elsevier
Freezing of gait (FoG) is one of the most disabling motor symptoms in Parkinson's disease,
which is described as a symptom where walking is interrupted by a brief, episodic absence …
which is described as a symptom where walking is interrupted by a brief, episodic absence …
R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios
where robots rely on third-party AI inference services powered by large pre-trained deep …
where robots rely on third-party AI inference services powered by large pre-trained deep …
camera-assisted training of non-vision sensors for anomaly detection
Cameras are becoming pervasive and used for image classification and object detection in
various applications, including anomaly detection. However, cameras pose a privacy threat …
various applications, including anomaly detection. However, cameras pose a privacy threat …
Development of Deep Learning Model for Building Opening Detection as the Application of Unmanned Aerial Vehicle (UAV) in Urban Search and Rescue Mission
A Surojaya - 2023 - essay.utwente.nl
Automatic Unmanned Aerial Vehicle (UAV) is a promising technology to minimise human
involvement in dangerous activities like urban search and rescue missions (USAR). For this …
involvement in dangerous activities like urban search and rescue missions (USAR). For this …