Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding

Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding

This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fusion techniques. The designed end-to-end deep neural network takes as input the visual image and associated depth inf...

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Bibliographic Details
Main Authors: Huang, Zhiyu, Lv, Chen, Xing, Yang, Wu, Jingda
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Mechanical engineering
End-to-End Autonomous Driving
Multimodal Sensor Fusion
Online Access:https://hdl.handle.net/10356/159714

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