The detecting of abnormal crowd activities based on motion vector
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.11.187
Abstract: Abstract Aiming at the crowd in high-definition video motion state of sudden changes in rapid detection of abnormal crowd behavior problem, this paper proposes a kind of abnormal behavior crowd detection method based on motion… read more here.
Keywords: abnormal crowd; motion; motion vector; based motion ... See more keywords
Comparison of different sample-based motion planning methods in redundant robotic manipulators
Sign Up to like & getrecommendations! Published in 2022 at "Robotica"
DOI: 10.1017/s026357472200008x
Abstract: The main objective of a motion planning algorithm is to find a collision-free path in the workspace of a robotic manipulator in a point-to-point motion. Among the various motion planning methods available, sample-based motion planning… read more here.
Keywords: sample based; motion; based motion; planning methods ... See more keywords
Validation of a CT-based motion model with in-situ fluoroscopy for lung surface deformation estimation
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abcbcf
Abstract: Many surrogate-based motion models (SMMs), proposed to guide motion management in radiotherapy, are constructed by correlating motion of an external surrogate and internal anatomy during CT-simulation. Changes in this correlation define model break down. We… read more here.
Keywords: lung surface; motion; estimation; model ... See more keywords
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3068550
Abstract: Lattice-based motion planning is a hybrid planning method where a plan is made up of discrete actions, while simultaneously also being a physically feasible trajectory. The planning takes both discrete and continuous aspects into account,… read more here.
Keywords: based motion; lattice based; motion planning; introspective learning ... See more keywords
Ensuring Safety of Learning-Based Motion Planners Using Control Barrier Functions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3152313
Abstract: Reinforcement learning (RL) has been successfully applied to sequential decision-making problems, e.g., playing computer games or solving robotic tasks in simulations. However, RL methods are not yet ready to be applied to real robotic systems… read more here.
Keywords: based motion; control barrier; safety; barrier functions ... See more keywords
A Sampling-Based Motion Assignment Strategy With Multi-Performance Optimization for Macro-Micro Robotic System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3204867
Abstract: This article proposes a sampling-based motion assignment strategy for coordinated motion planning of macro-micro robotic systems. It is used to achieve performance enhancements while solving joint trajectories. The sampling strategy is implemented by traversing a… read more here.
Keywords: sampling based; based motion; motion assignment; strategy ... See more keywords
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3025671
Abstract: Motion planning is one of the most significant part in autonomous driving. Learning-based motion planning methods attract many researchers’ attention due to the abilities of learning from the environment and directly making decisions from the… read more here.
Keywords: motion; based motion; motion commands; method ... See more keywords
A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2958062
Abstract: The hexapod manipulator is the most common motion platform, which is widely used as a simulation-based motion platform (SBMP). As the hexapod manipulator has a limited workspace, it is not physically possible to regenerate the… read more here.
Keywords: motion; hexapod; linear time; based motion ... See more keywords
Inverse Dynamics Filtering for Sampling‐based Motion Control
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DOI: 10.1111/cgf.14274
Abstract: We improve the sampling‐based motion control method proposed by Liu et al. using inverse dynamics. To deal with noise in the motion capture we filter the motion data using a Butterworth filter where we choose… read more here.
Keywords: motion; motion control; based motion; sampling based ... See more keywords
MR-based motion correction for cardiac PET parametric imaging: a simulation study
Sign Up to like & getrecommendations! Published in 2018 at "EJNMMI Physics"
DOI: 10.1186/s40658-017-0200-9
Abstract: BackgroundBoth cardiac and respiratory motions bias the kinetic parameters measured by dynamic PET. The aim of this study was to perform a realistic positron emission tomography-magnetic resonance (PET-MR) simulation study using 4D XCAT to evaluate… read more here.
Keywords: motion; pet; simulation study; study ... See more keywords
Real-Time Exercise Feedback through a Convolutional Neural Network: A Machine Learning-Based Motion-Detecting Mobile Exercise Coaching Application
Sign Up to like & getrecommendations! Published in 2022 at "Yonsei Medical Journal"
DOI: 10.3349/ymj.2022.63.s34
Abstract: Purpose Mobile applications are widely used in the healthcare market. This study aimed to determine whether exercise using a machine learning-based motion-detecting mobile exercise coaching application (MDMECA) is superior to video streaming-based exercise for improving… read more here.
Keywords: motion detecting; based motion; learning based; machine learning ... See more keywords