Predicting Autonomous Vehicle Navigation Parameters via Image and Image-and-Point Cloud Fusion-based End-to-End Methods-Reference-Cited by-同舟云学术

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Predicting Autonomous Vehicle Navigation Parameters via Image and Image-and-Point Cloud Fusion-based End-to-End Methods

Published:2022-09-20 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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Author:

Beycimen Semih¹,Ignatyev Dmitry¹,Zolotas Argyrios¹

Affiliation:

1. Cranfield University, SATM,Centre for Autonomous and Cyberphysical Systems,Bedford,United Kingdom,MK43 0AL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9913805/9913839/09913844.pdf?arnumber=9913844

Reference24 articles.

1. Steering angle estimation for self-driving car using deep learning;kumar;Symposium on Machine Learning and Metaheuristics Algorithms and Applications,2019

2. Learning to Drive: End-to-End Off-Road Path Prediction

3. Self-driving car steering angle prediction based on image recognition;du,2019

4. Steering Angle Prediction in Autonomous Vehicles Using Deep Learning

5. Vision-Based Navigation of Autonomous Vehicles in Roadway Environments with Unexpected Hazards

Cited by 1 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. A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights;Engineering Science and Technology, an International Journal;2023-11

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