Robust autonomous driving control using deep hybrid-learning network under rainy/snown conditions
- 13 June 2024
- journal article
- research article
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 83 (41) , 89281-89295
Abstract
No abstract availableKeywords
Funding Information
- National Science and Technology Council (NSTC 112-2221-E-224-053-)
This publication has 26 references indexed in Scilit:
- A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving2023
- Anticipating Autonomous Vehicle Driving based on Multi-Modal Multiple Motion Tasks NetworkJournal of Intelligent & Robotic Systems, 2022
- Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NXKnowledge-Based Systems, 2022
- End-to-End Deep Learning Model for Steering Angle Control of Autonomous Vehicles2020
- Anomaly Detection in Video Data Based on Probabilistic Latent Space Models2020
- Training a Remote-Control Car to Autonomously Lane-Follow using End-to-End Neural Networks2019
- AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles2017
- Rethinking the Inception Architecture for Computer Vision2016
- Going deeper with convolutions2015
- Bidirectional recurrent neural networksIEEE Transactions on Signal Processing, 1997