An Encoder-Sequencer-Decoder Network for Lane Detection to Facilitate Autonomous Driving

Lane detection in all weather conditions is a pressing necessity for autonomous driving. Accurate lane detection ensures the safe operation of autonomous vehicles, enabling advanced driver assistance systems to effectively track and maintain the vehicle within the lanes. Traditional lane detection t...

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Bibliographische Detailangaben

Veröffentlicht in:	International Conference on Control, Automation and Systems (Online) S. 899 - 904
Hauptverfasser:	Hussain, Muhammad Ishfaq, Rafique, Muhammad Aasim, Ko, Yeongmin, Khan, Zafran, Olimov, Farrukh, Naz, Zubia, Kim, Jeongbae, Jeon, Moongu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ICROS 17.10.2023
Schlagworte:	Autonomous Driving and Robotics Convolutional LSTM Decoding Encoder and Decoder Network Feature extraction Lane detection Process control Roads Semantic segmentation Streaming media TuSimple
ISSN:	2642-3901
Online-Zugang:	Volltext
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