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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Vydané v:	International Conference on Control, Automation and Systems (Online) s. 899 - 904
Hlavní autori:	Hussain, Muhammad Ishfaq, Rafique, Muhammad Aasim, Ko, Yeongmin, Khan, Zafran, Olimov, Farrukh, Naz, Zubia, Kim, Jeongbae, Jeon, Moongu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ICROS 17.10.2023
Predmet:	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
On-line prístup:	Získať plný text
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