Model Optimization in Deep Learning Based Robot Control for Autonomous Driving-Reference-Cited by-同舟云学术

Model Optimization in Deep Learning Based Robot Control for Autonomous Driving

Published:2024-01 Issue:1 Volume:9 Page:715-722
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Paniego Sergio¹^ORCID,Paliwal Nikhil²^ORCID,Cañas JoséMaría¹^ORCID

Affiliation:

1. Universidad Rey Juan Carlos, Madrid, Spain

2. Saarland University, Saarbrücken, Germany

Funder

Google Summer of Code

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10320104/10328061.pdf?arnumber=10328061

Reference37 articles.

1. Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles,2021

2. Autonomous vehicle implementation predictions implications for transport planning;Litman,2022

3. Virtual KITTI 2;Cabon,2020

4. CARLA: An open urban driving simulator;Dosovitskiy,2017

5. TORCS, the open racing car simulator;Espi,2005

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing end-to-end control in autonomous driving through kinematic-infused and visual memory imitation learning;Neurocomputing;2024-10

2. Autonomous driving in traffic with end-to-end vision-based deep learning;Neurocomputing;2024-08

3. Comparative Analysis of SAAS Model and NPC Integration for Enhancing VR Shopping Experiences;Applied Sciences;2024-07-27

4. Behavior metrics: An open-source assessment tool for autonomous driving tasks;SoftwareX;2024-05

5. Enhancing End-to-End Control in Autonomous Driving Through Kinematic-Infused and Visual Memory Imitation Learning;2024