Exploiting Multi-Modal Fusion for Urban Autonomous Driving Using Latent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Exploiting Multi-Modal Fusion for Urban Autonomous Driving Using Latent Deep Reinforcement Learning

Published:2023-03 Issue:3 Volume:72 Page:2921-2935
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Khalil Yasser H.¹^ORCID,Mouftah Hussein T.¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

Funder

Canada Research Chairs Fund Program

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10070114/09934803.pdf?arnumber=9934803

Reference47 articles.

1. Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning

2. Learning Feature Fusion in Deep Learning-Based Object Detector

3. Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning

4. Learning Accurate and Human-Like Driving using Semantic Maps and Attention

5. Playing atari with deep reinforcement learning;mnih,2013

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1. Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19

2. End-to-End Urban Autonomous Navigation with Decision Hindsight;Communications in Computer and Information Science;2023-11-26

3. Bifurcation Analysis and Solitary Wave Analysis of the Nonlinear Fractional Soliton Neuron Model;Iranian Journal of Science;2023-11-18

4. Analysis of chaotic structures, bifurcation and soliton solutions to fractional Boussinesq model;Physica Scripta;2023-06-20

5. LidNet: Boosting Perception and Motion Prediction from a Sequence of LIDAR Point Clouds for Autonomous Driving;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

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