Search Results for author: Der-Hau Lee

Found 4 papers, 0 papers with code

Efficient Perception, Planning, and Control Algorithms for Vision-Based Automated Vehicles

no code implementations15 Sep 2022 Der-Hau Lee

Autonomous vehicles have limited computational resources; hence, their control systems must be efficient.

Autonomous Driving Motion Planning +4

End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving

no code implementations9 Feb 2021 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 detection and path prediction (PP) in autonomous driving.

Autonomous Driving Image Segmentation +2

Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving

no code implementations26 Oct 2019 Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou, Chang-Lun Liu, Jinn-Liang Liu

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 few perception indicators (heading angle, distances to preceding cars, and distance to road centerline) for estimating driving affordances in highway traffic.

Autonomous Driving

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