Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN)

Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN)

Show other versions (1)

In recent years, the widespread adoption of autonomous vehicle, advanced driver assistant systems (ADAS) have acquired great interests as it provides safe and better driving by automating, adapting, and enhancing the driving experience. Road accidents can be avoided with the identification of variou...

Full description

Bibliographic Details
Main Authors: Yee, Lee Yin, Muhammad Aizzat, Zakaria
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39446/1/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification.pdf
http://umpir.ump.edu.my/id/eprint/39446/2/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/39446/1/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification.pdf
http://umpir.ump.edu.my/id/eprint/39446/2/Universiti%20Malaysia%20Pahang%20Autonomous%20Shuttle%20Development_Lane%20Classification_ABS.pdf

Similar Items