Author of the publication

Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System.

, , , and . Sensors, 17 (9): 2109 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Cloud-Based Industrial Cyber-Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line., , , and . IEEE Trans. Ind. Informatics, 16 (9): 5975-5984 (2020)A Simple Multi-Objective Optimization Based on the Cross-Entropy Method., , , and . IEEE Access, (2017)Monitoring tool usage on the basis of sensory information in micro-drilling operations., , , and . ICIT, page 667-672. IEEE, (2016)Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization., , , , and . Complex., (2017)Intelligent Models for Predicting the Thrust Force and Perpendicular Vibrations in Microdrilling Processes., , , , and . ICTAI, page 506-511. IEEE Computer Society, (2014)Application of hybrid incremental modeling for predicting surface roughness in micromachining processes., , , and . CIES, page 54-59. IEEE, (2014)Industrial cyber-physical system for condition-based monitoring in manufacturing processes., , , and . ICPS, page 637-642. IEEE, (2018)Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System., , , and . Sensors, 17 (9): 2109 (2017)Conductance sensor for micromachining. A case study on monitoring tool-workpiece contact., , , and . ICIT, page 1422-1426. IEEE, (2015)Artificial intelligence-based modelling and optimization of microdrilling processes., , , , and . CIES, page 49-53. IEEE, (2014)