Vision driven lane changing system of self driving car

Vision driven lane changing system of self driving car

This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.

Xehetasun bibliografikoak
Egile Nagusiak:	Meshkat, Mashook Mohammad, Mustafa, Shehab, Deen, Tahmid Al, Das, Mrinmoy
Beste egile batzuk:	Rahim, A. H. M. Abdur
Formatua:	Project report
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Self-driving car Lane changing Machine learning Object detection Decision criteria Automobiles > Technological innovations Automobiles > Automatic control
Sarrera elektronikoa:	http://hdl.handle.net/10361/23886

Antzeko izenburuak

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