Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning
Abstract This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimiza...
Saved in:
Main Authors: | J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86743-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Thompson Sampling for Non-Stationary Bandit Problems
by: Han Qi, et al.
Published: (2025-01-01) -
THE ROLE OF INFORMANTS IN THE ACCENTUATION OF ARMED BANDITRY IN NORTH-WESTERN NIGERIA: A CASE STUDY OF ZAMFARA STATE
by: TUKUR ABDULKADIR, et al.
Published: (2024-07-01) -
A Double-Edged Sword: Bandits in the Javanese Revolution: Foes or Friends?
by: Anung Jati Nugraha Mukti
Published: (2024-07-01) -
Lettrés, rebelles et autres bandits face à l’ordre colonial. Réflexions sur l’esprit de résistance et le patriotisme vietnamien
by: Trinh Van Thao
Published: (2015-01-01) -
Lane Changing Control of Autonomous Vehicle With Integrated Trajectory Planning Based on Stackelberg Game
by: Dongmei Wu, et al.
Published: (2024-01-01)