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Xun Pan

助手

  • 7 Citations
  • 1 h-Index
20142019
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  • 3 Similar Profiles
Lighting Engineering & Materials Science
Particle swarm optimization (PSO) Engineering & Materials Science
Neural networks Engineering & Materials Science
Pixels Engineering & Materials Science
Gabor filters Engineering & Materials Science
Experiments Engineering & Materials Science
Electric vehicles Engineering & Materials Science
Convolution Engineering & Materials Science

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Research Output 2014 2019

  • 7 Citations
  • 1 h-Index
  • 5 Conference contribution
  • 5 Article

Automatic Training Data Generation Method for Pixel-Level Road Lane Segmentation

Pan, X., Wu, Y. & Ogai, H., 2019 Jan 1, Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. Tseng, S-P., Sui, B., Pan, J-S. & Lin, J. C-W. (eds.). Springer-Verlag, p. 473-481 9 p. (Advances in Intelligent Systems and Computing; vol. 834).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pixels
Semantics
Personnel
Neural networks
Experiments

Fast lane detection based on deep convolutional neural network and automatic training data labeling

Pan, X. & Ogai, H., 2019 Mar 1, In : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E102A, 3, p. 566-575 10 p.

Research output: Contribution to journal › Article

Lane Detection
Convolution
Labeling
Computer vision
Pixels
1 Citation (Scopus)

Fast road detection based on a dual-stage structure

Pan, X., Si, W. & Ogai, H., 2017 Feb 18, Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. Association for Computing Machinery, Vol. Part F127852. p. 155-162 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hough transforms
Experiments

Real-time daylight modeling method for lighting systems based on RBFNN

Si, W., Pan, X. & Ogai, H., 2017 Feb 18, Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. Association for Computing Machinery, Vol. Part F127852. p. 318-325 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lighting
Control systems
Sensors
Energy conservation

A novel lambertian-RBFNN for office light modeling

Si, W., Pan, X., Ogai, H. & Hirai, K., 2016 Jul 1, In : IEICE Transactions on Information and Systems. E99D, 7, p. 1742-1752 11 p.

Research output: Contribution to journal › Article

Lighting
Neural networks
Electric lamps
Neurons
Splines