1-3 of 3
Image segmentation
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Obstacle Detection for Autonomous Driving Vehicles With Multi-LiDAR Sensor Fusion

Mingcong Cao, Junmin Wang
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. February 2020, 142(2): 021007.
Paper No: DS-19-1250
https://doi.org/10.1115/1.4045361
Published Online: November 21, 2019
View Article titled, Obstacle Detection for Autonomous Driving Vehicles With Multi-LiDAR Sensor Fusion
Open the PDF for Obstacle Detection for Autonomous Driving Vehicles With Multi-LiDAR Sensor Fusion in another window
Topics: Algorithms, Filtration, Sensors, Vehicles, Noise (Sound), Image segmentation, Calibration
Journal Articles

Gesture Tracking and Locating Algorithm Based on Federated Tracking Filter

Lei Yu, Junyi Hou, Shumin Fei
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. December 2019, 141(12): 124501.
Paper No: DS-18-1432
https://doi.org/10.1115/1.4044615
Published Online: September 18, 2019
View Article titled, Gesture Tracking and Locating Algorithm Based on Federated Tracking Filter
Open the PDF for Gesture Tracking and Locating Algorithm Based on Federated Tracking Filter in another window
Topics: Algorithms, Filters, Skin, Image segmentation, Particulate matter
Journal Articles

Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment

Samer Gowid, Roger Dixon, Saud Ghani
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. June 2017, 139(6): 061013.
Paper No: DS-16-1007
https://doi.org/10.1115/1.4035458
Published Online: April 13, 2017
View Article titled, Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
Open the PDF for Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment in another window
Topics: Algorithms, Artificial neural networks, Feature selection, Image segmentation, Machinery, Condition monitoring