Adaptive lane tracking for autonomous vehicles using machine learning
Autonomous vehicles are revolutionizing and they are the future of transportation. In order to let autonomous vehicles safe and efficient, they must be able to perceive and interpret information accurately from the surrounding, particularly in lane detection and lane tracking. However, the challenge...
Saved in:
Main Author: | Lee, Wei Tang |
---|---|
Other Authors: | Soong Boon Hee |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181573 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Lane detection algorithm for autonomous vehicles using machine learning
by: Goh, Terence Wei Liang
Published: (2024) -
Real-time robust multi-lane detection and tracking in challenging urban scenarios
by: Zhou, Hui, et al.
Published: (2020) -
Lane detection and spatiotemporal reconstruction using the macroblock predictions method
by: Roxas, Edison A., et al.
Published: (2018) -
Evaluation of user/operator stress using eye-tracking with machine learning algorithms
by: Song, Ke Yan
Published: (2024) -
URBAN AUTONOMOUS TRANSPORT SYSTEMS: INCENTIVE PROGRAM, DEDICATED LANES, AND FLEET OPERATION
by: CHEN SHUKAI
Published: (2021)