Reliable Road Scene Interpretation Based on ITOM with the Integrated Fusion of Vehicle and Lane Tracker in Dense Traffic Situation
Lane detection and tracking in a complex road environment is one of the most important research areas in highly automated driving systems. Studies on lane detection cover a variety of difficulties, such as shadowy situations, dimmed lane painting, and obstacles that prohibit lane feature detection....
Main Authors: | Jinhan Jeong, Yook Hyun Yoon, Jahng Hyon Park |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/9/2457 |
Similar Items
-
Camera-Based Lane Detection—Can Yellow Road Markings Facilitate Automated Driving in Snow?
by: Ane Dalsnes Storsæter, et al.
Published: (2021-10-01) -
Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Using Electric Vehicles
by: Shika Rao, et al.
Published: (2022-10-01) -
A Comparison of Lane Marking Detection Quality and View Range between Daytime and Night-Time Conditions by Machine Vision
by: Darko Babić, et al.
Published: (2021-08-01) -
A Novel Flexible Lane Changing (FLC) Method in Complicated Dynamic Environment for Automated Vehicles
by: Mohsen Rafat, et al.
Published: (2023-04-01) -
Traffic signal coordination control for arterials with dedicated CAV lanes
by: Liang Xu, et al.
Published: (2022-05-01)