12 citations · 29 across the 6 of their papers we have counts for
6 papers
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles
Der-Hau Lee
Autonomous vehicles have limited computational resources and thus require efficient control systems. The cost and size of sensors have limited the development of self-driving cars.…
Multi-task UNet architecture for end-to-end autonomous driving
Der-Hau Lee, Jinn-Liang Liu
We propose an end-to-end driving model that integrates a multi-task UNet (MTUNet) architecture and control algorithms in a pipeline of data flow from a front camera through this mo…
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
Der-Hau Lee, Jinn-Liang Liu
Inspired by the UNet architecture of semantic image segmentation, we propose a lightweight UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane dete…
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou +2
Based on the direct perception paradigm of autonomous driving, we investigate and modify the CNNs (convolutional neural networks) AlexNet and GoogLeNet that map an input image to f…
Non-centrosymmetric superconductors on honeycomb lattice
Der-Hau Lee, Chung-Hou Chung
We study non-centrosymmetric topological superconductivity in correlated doped quantum spin-Hall insulators (QSHI) on honeycomb lattice without inversion symmetry where the intrins…
Kane-Mele Hubbard model on a zigzag ribbon: stability of the topological edge states and quantum phase transitions
Chung-Hou Chung, Der-Hau Lee, Sung-Po Chao
We study the quantum phases and phase transitions of the Kane-Mele Hubbard (KMH) model on a zigzag ribbon of honeycomb lattice at a finite size via the weak-coupling renormalizatio…