Deep Learning-Based Method for Detecting Traffic Flow Parameters Under Snowfall
In recent years, advancements in computer vision have yielded new prospects for intelligent transportation applications, specifically in the realm of automated traffic flow data collection. Within this emerging trend, the ability to swiftly and accurately detect vehicles and extract traffic flow par...
Saved in:
| Main Authors: | Cheng Jian, Tiancheng Xie, Xiaojian Hu, Jian Lu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/10/12/301 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
by: Marija Burinskienė, et al.
Published: (2020-09-01) -
Study of the ınfluence of coordınated regulatıon on the traffıc flow parameters on ıntersectıng streets
by: Fuad Dashdamirov, et al.
Published: (2025-07-01) -
Traffic Flow Detection Using Distributed Fiber Optic Acoustic Sensing
by: Huiyong Liu, et al.
Published: (2018-01-01) -
Analysis of algorithms for detecting traffic incidents on highways using stationary vehicle detectors
by: D. V. Navoi, et al.
Published: (2024-01-01) -
Method of Video-Measurements of Traffic Flow Characteristics at a Road Junction
by: Marina Yashina, et al.
Published: (2020-09-01)